[ { "id": 1018, "name": "PocketSuite", "slug": "pocketsuite", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdb97ca4207ccb8346f6dd29984f5fca487812e0.png", "website": "https://pocketsuite.io", "all_locations": "Washington, DC, USA; Remote", "long_description": "PocketSuite is the all-in-one platform built for service businesses. From bookings and payments to client communication and beyond, we help owners and managers simplify their business and focus on what they do best. For more than a decade, thousands of independent professionals, small businesses, and multi-location brands have trusted PocketSuite to power their service businesses and serve hundreds of thousands of clients. We’re proud to support a diverse community of entrepreneurs at every stage of their journey. PocketSuite empowers the U.S. market of 20 million service businesses, generating $1 billion in sales with a desktop and mobile cloud solution for running their business. Thousands of businesses run on PocketSuite. Over 600,000 clients book, pay, and communicate with their service providers on PocketSuite today, and we're growing fast.", "one_liner": "All-In-One Business Operating System by PocketSuite", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1447312814, "tags": [ "SaaS", "Payments", "Messaging", "Scheduling", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2016", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pocketsuite", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2016/pocketsuite.json", "year_founded": 2016, "city": "Washington", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pocketsuite", "x_url": "https://twitter.com/PocketSuite", "fb_url": "https://www.facebook.com/PocketSuite/", "cb_url": "https://www.crunchbase.com/organization/pocketsuite", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdb97ca4207ccb8346f6dd29984f5fca487812e0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 33911, "full_name": "Yang Forjindam", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yangforjindam", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8bf3591b6e8bf1ef679412c770a5e692bbfe5e55.jpg" } ], "jobs": [ { "id": 1084, "title": "Lead Generalist Engineer", "url": "https://www.ycombinator.com/companies/pocketsuite/jobs/WIUGZgMa8-lead-generalist-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$174K - $192K", "equity_range": "0.25% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Android", "Go", "iOS", "Java", "JavaScript", "Kotlin", "Nginx", "Objective-C", "PostgreSQL", "Python", "React", "Swift", "TypeScript", "Linux" ] }, { "id": 47932, "title": "Customer Success Product Expert & Business Coach", "url": "https://www.ycombinator.com/companies/pocketsuite/jobs/4fAltNV-customer-success-product-expert-business-coach", "location": "Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$55K - $65K", "equity_range": "0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93163, "title": "Marketing Generalist - SMB Growth & Strategy", "url": "https://www.ycombinator.com/companies/pocketsuite/jobs/JwwrzBW-marketing-generalist-smb-growth-strategy", "location": "US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$65K - $80K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 1625, "name": "Solve", "slug": "solve", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "https://www.solve.com", "all_locations": "Las Vegas, NV, USA", "long_description": "Solve (YCS17) provides airport fast track, customs, and concierge services in over 470 airports worldwide. Whether it's departure, arrival, or transit, we've got you covered.", "one_liner": "We save travelers hours by meeting them at their arrival gate,…", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Travel, Leisure and Tourism", "launched_at": 1493398692, "tags": [ "Travel", "Logistics", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2017", "status": "Acquired", "industries": [ "Consumer", "Travel, Leisure and Tourism" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/solve", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2017/solve.json", "year_founded": null, "city": "Las Vegas", "country": "US", "linkedin_url": null, "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/solve-4", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 195453, "full_name": "Justin Vencel", "title": "Founder/CTO", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justinvencel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20510b0522faf9b72f93d9abddacb61e5afc2e03.jpg" } ], "jobs": [], "news": [ { "title": "Solve Intelligence helps attorneys draft patents for IP analysis and generation | TechCrunch", "url": "https://techcrunch.com/2023/11/28/solve-intelligences-ai-solution-helps-attorneys-draft-patents-for-ip-analysis-and-generation/", "date": "Nov 28, 2023" } ], "launches": [] }, { "id": 22694, "name": "Vogent", "slug": "vogent", "former_names": [ "Monoid", "Interlounge", "Gallery", "Brist", "Monoid", "Elto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b16347eb61c894b16643b846e1734b737dee7d65.png", "website": "https://vogent.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Vogent is an all-in-one platform for building voice agents by using intelligent building blocks, including IVR detection models, custom phone-ready LLMs, drag-and-drop conversational flow builders, and more. ", "one_liner": "Build Voice AI Agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1628291828, "tags": [ "SaaS", "B2B", "Sales", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vogent", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/vogent.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vogent", "x_url": "https://x.com/vogentai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/vogent", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b16347eb61c894b16643b846e1734b737dee7d65.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 539546, "full_name": "Jagath Vytheeswaran", "title": "Founder", "founder_bio": "CEO @ Vogent\n\n", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/jagathv", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9614074aa61679f15addee54c3eb1cc261880eab.jpg" }, { "user_id": 434104, "full_name": "Vignesh Varadarajan", "title": "Founder", "founder_bio": "CTO @ Elto\n\nPreviously:\nCS @ Caltech\nSoftware & Machine Learning @ Apple\nSoftware @ IBM", "is_active": true, "linkedin_url": "http://linkedin.com/in/vignesh-varadarajan-22469937/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/738c0d3687a802593e0f9052c72df76aa411d68b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95431, "title": "Vogent Voice Agent Wizard: build voice agents with just a description", "tagline": "Create effective voice agents from scratch using a prompt and supporting files", "body": "**TL;DR:** **Vogent's Voice Agent Wizard uses AI trained on thousands of real agent designs to generate complete, ready-to-deploy voice agents from a simple description and any relevant files**\n\nhttps://youtu.be/IKisqK4cO5U\n\nBuilding a performant voice AI agent today means weeks of trial and error—clicking through dashboards, configuring countless parameters, testing edge cases, and waiting on support tickets. By the time you've iterated your way to something that works, your competitors have shipped and your launch momentum is gone.\n\n**Introducing Vogent's Voice Agent Wizard.** Trained on thousands of real agent design processes, our wizard understands what makes voice agents work in production. Just describe what you want your agent to do, attach a few transcripts or conversation examples, and it builds a complete, production-ready voice agent in minutes—not weeks.\n\nThe wizard handles everything: reasoning through the right agent architecture for your use case, configuring optimal parameters, generating appropriate system prompts, and even anticipating edge cases based on patterns it's learned from real deployments. What used to take experienced engineers days of iteration now happens automatically.\n\nThe result? You can go from idea to deployed voice agent immediately. Test new use cases instantly. Iterate in real-time based on user feedback. Focus on building your product, not wrestling with infrastructure.\n\n**Try the Agent Wizard today at [app.vogent.ai](http://app.vogent.ai)**\n\n![uploaded image](/media/?type=post&id=95431&key=user_uploads/539546/0cb9a065-4760-44be-bdce-c3e00b4f1636)\n\n", "url": "https://www.ycombinator.com/launches/OpD-vogent-voice-agent-wizard-build-voice-agents-with-just-a-description", "votes": 9, "created_at": "2025-11-12T15:44:28.405Z" }, { "id": 94839, "title": "Vogent Turn: State-of-the-art Turn Detection for Voice AI", "tagline": "Stop interrupting; teach your AI when to wait, and when to speak", "body": "**TL;DR: Vogent-Turn-80M is a state-of-the-art turn-detection model that detects when users are done speaking with extraordinary accuracy, so your voice AI can stop interrupting.**\\\n\\\nhttps://youtu.be/XQeSUc2ID6g\n\nWhat makes conversation feel natural isn't just what we say; it's knowing when to speak and when to listen. Current voice AI systems struggle with this fundamental challenge, either interrupting users mid-thought or waiting awkwardly long after they've finished. The problem? Existing turn detection relies on either audio-only signals (missing semantic context) or text-only analysis (losing critical vocal cues). When a user says \"I'm flying from San Francisco...\" are they pausing to think, or done answering? Audio and text alone can't tell; but humans know instantly.\n\n**Introducing Vogent-Turn-80M**. Vogent-Turn-80M solves this by doing what humans do naturally: processing both how you're speaking and what you're saying simultaneously. Built on a streamlined 80M parameter architecture, our model fuses acoustic features from audio with conversational context from text, enabling it to understand that \"123 456\" with rising intonation means more is coming, while \"I'm departing from San Francisco\" is incomplete when asked about two airports. This multimodal approach achieves 94.1% accuracy while running in just \\~7ms on a T4 GPU—fast enough to feel completely natural in real-time conversations.\n\nThe result? Voice agents that finally feel like talking to a human. No more frustrating interruptions. No more awkward pauses. Just natural, flowing conversation that responds at the right moment, every time.\n\nHugging Face: https://huggingface.co/vogent/Vogent-Turn-80M\n\nGitHub: https://github.com/vogent/vogent-turn\n\nBlog Post: https://blog.vogent.ai/posts/voturn-80m-state-of-the-art-turn-detection-for-voice-agents\n\n![uploaded image](/media/?type=post&id=94839&key=user_uploads/539546/d4b5cab9-e1c3-47cf-bcc5-cc4d519a1d88)\n\n", "url": "https://www.ycombinator.com/launches/Off-vogent-turn-state-of-the-art-turn-detection-for-voice-ai", "votes": 8, "created_at": "2025-10-23T14:37:17.278Z" }, { "id": 91917, "title": "Vogent Voicelab: API to run top open-source voice models, like CSM-1B", "tagline": "An API for fast, high-quality, and consistent text-to-speech generation from top open-source voice models, like Sesame CSM-1B, Dia, and more.", "body": "We’re excited to launch **Vogent Voicelab (vogent.ai/voicelab): an optimized API to run top open-source voice models.**\n\nNew open-source text-to-speech models come out every week, with many ranking as state-of-the-art on popular benchmarks.\n\nHowever, most of these models are not readily usable for high-volume, low-latency inference. Additionally, some research preview models can struggle with hallucinations and inconsistent outputs. Finally, as with any model, hosting yourself and managing compute can be a headache.\n\nVoicelab solves these problems:\n\n1. Voicelab maintains a proprietary inference stack that is optimized to serve text-to-speech transformers efficiently and scalably.\n2. Voicelab post-trains select models to improve consistency and offer high-quality professional voice clones.\n3. Voicelab manages all compute, so you can pay for these models per-character instead of managing GPUs.\n\nAll of this is exposed through a standard text-to-speech API (with streaming/websocket support) and an online playground.\n\nDocs: [docs.vogent.ai/voicelab](http://docs.vogent.ai/voicelab)\n\nTTS Playground: [app.vogent.ai](http://app.vogent.ai)\n\nhttps://youtu.be/KMIVXYhb7lY\n\n![uploaded image](/media/?type=post&id=91917&key=user_uploads/539546/a6d5dd4f-0ed4-4ed9-9d69-8b12308b3e1d)\n\n", "url": "https://www.ycombinator.com/launches/NuX-vogent-voicelab-api-to-run-top-open-source-voice-models-like-csm-1b", "votes": 13, "created_at": "2025-07-07T15:01:55.870Z" }, { "id": 89328, "title": "Vogent: *Insanely* Realistic Voice Agents powered by Sesame", "tagline": "Humanlike & realtime voice agents, powered by a re-engineered Sesame CSM-1B", "body": "TL;DR: Make your voice agents _way_ more realistic and stop getting hangups. Check it out in action at or talk to it yourself by calling our AI Trump voice agent at (510) 315-0014 or [**vogent.ai/sesame**](http://vogent.ai/sesame)\n\nVogent powers millions of voice AI phone calls for healthcare, customer support, travel, and more.\n\nToday, we’re launching the **most realistic realtime voice engine** ever. It inserts natural pauses and disfluencies (“um”, “uh”) without being explicitly prompted, and is _uncannily_ good at cloning voices. Check it out in the videos below:\n\n\n\n\n\nHow did we do it?\n\nIf you’ve been online recently, you’ve probably come across Sesame’s super humanlike voice AI, and their open-source launch of CSM-1B, a 1B-parameter text-to-speech model.\n\nWe’ve spent the past couple of weeks rearchitecting CSM-1B from the ground-up to support realtime, low-latency inference, and we’ve finally cracked it. The results are pretty insane; it’s a step-function increase in realism (customer hangup rates have decreased by 60%+), and we made it available out-of-the-box.\n\nIf you want to create your own Sesame agents, sign up at [**app.vogent.ai**](http://app.vogent.ai), and select one of our Sesame voices. You can also use Sesame to clone new voices, as long as you have a 10-15 second reference clip.\n\nWe’re also releasing a realtime Sesame TTS soon; email [j@vogent.ai](mailto:j@vogent.ai) for beta access.", "url": "https://www.ycombinator.com/launches/NEm-vogent-insanely-realistic-voice-agents-powered-by-sesame", "votes": 97, "created_at": "2025-04-08T03:58:15.504Z" }, { "id": 88533, "title": "Vogent: Self-Learning Voice AI", "tagline": "Vogent builds voice AI agents that design and improve themselves", "body": "Announcing Vogent Self-Learning: 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐭𝐡𝐞𝐦𝐬𝐞𝐥𝐯𝐞𝐬, learning from real failure cases and requiring no prompt engineering. No more need for hundreds of prompt iterations, or burning GPU (and human) hours on fine-tunes that don’t work.\n\nUsing reinforcement learning methods, like the kinds used by Deepseek and other research labs, our voice agents design themselves given call recordings, and improve themselves by evaluating every single dial and correcting bad behaviors.\n\nSign up by going to [app.vogent.ai](http://app.vogent.ai) and clicking “Self Learning”\n\n", "url": "https://www.ycombinator.com/launches/N1x-vogent-self-learning-voice-ai", "votes": 12, "created_at": "2025-03-12T19:11:45.614Z" }, { "id": 87288, "title": "Vogent: Build Voice AI Agents, Fast", "tagline": "Vogent is the all-in-one platform for building effective voice agents quickly", "body": "**TL;DR**: [**Vogent**](https://vogent.ai/) is an all-in-one platform for building voice agents by using intelligent building blocks, including drag-and-drop conversational flow builders, IVR detection models, spelling-optimized voices, custom phone-ready LLMs, and more. Vogent is made for developers and no-code users alike.\n\n\n\n# The Problem\n\nWe’ve spent the past year building high-volume voice AI agents for a number of big-ticket customers, including the second largest prescription network in the US, the biggest flight and hotel booking sites in Europe, top-10 health insurance companies, car dealership chains, and more.\n\nWhile the core voice agent cycle (STT-LLM-TTS-VAD) is a mostly solved problem at this point, the last-mile problem for making these agents performant was frustrating. We ended up building a lot of band-aids, and we decided to consolidate all of the tools that we used to build these agents into a self-serve platform for developers and non-developers alike.\n\n# How Vogent Works\n\nVoice AI isn’t new, and neither are platforms to build agents. Our approach is to also offer higher-level building blocks that make it easier to build performant agents that can handle complex tasks. These include:\n\n* Our drag-and-drop flow builder, which lets teams build agents that are both conversationally flexible and aligned to a task.\n* Our counterfactuals feature, which lets you test new agents on past calls\n* Our IVR detection model, which can tell the difference between a human or prerecorded message and navigate the latter\n* Custom, in-house voices that are optimized for realistic numbers and spelling\n* LLMs fine-tuned on millions of phone conversations that can be easily prompted to follow phone-call tasks\n\nAs well as other powerful abstractions.\n\nOur other focus is providing as much to developers as possible. We expose most of our platform through GraphQL and REST APIs, and we have a JS SDK that makes voice as easy to add to your product as any other AI modality. (Mobile SDKs in beta – email [j@vogent.ai](mailto:j@vogent.ai) for access!)\n\n# Get Started \n\n* Sign up now at [**https://vogent.ai**](https://vogent.ai) \n* Join our Discord - [**https://discord.gg/JmThYcyG**](https://discord.gg/JmThYcyG)\n* Follow us on X - [**x.com/vogentai**](http://x.com/vogentai) \n* Follow us on LinkedIn - [**linkedin.com/company/vogent**](http://linkedin.com/company/vogent) \n* Email us directly: [**j@vogent.ai**](mailto:j@vogent.ai) \n\n![uploaded image](/media/?type=post&id=87288&key=user_uploads/539546/65341827-c3b0-40fe-9fa1-e9fede328808)\n\n", "url": "https://www.ycombinator.com/launches/Mhs-vogent-build-voice-ai-agents-fast", "votes": 78, "created_at": "2025-01-29T20:41:57.759Z" }, { "id": 80688, "title": "Elto AI: The AI that makes phone calls", "tagline": "Elto is an AI that talks on the phone, automating tasks in healthcare, operations, staffing, government, and more.", "body": "**tl;dr:** Elto AI is a highly authentic, low-latency conversational AI that can make phone calls. Elto has automated phone calls to/for health systems, insurance providers, pharmacies, staffing agencies, municipalities, and more. Get a call from the AI at !\n\n![uploaded image](/media/?type=post&id=80688&key=user_uploads/539546/d298a29f-a5c3-4cde-a2c4-d2455baa28be)\n\nElto is an end-to-end platform for training, deploying, and monitoring AI voice agents that make phone calls.\n\n### The Problem\n\nPhone calls are the most reliable way to execute tasks and receive information, whether it’s checking the status of an insurance claim or canvassing potential voters. Unfortunately, making phone calls is expensive, time-consuming, and resource-intensive; an offshore human caller can only make 100-300 dials a day, and increasing the number of humans dialing adds management burden. Making calls time-sensitive only adds to the operational complexity.\n\nOthers’ attempts to solve this problem with AI fall short; chaining together out-of-the-box API’s makes conversational agents that are difficult to train and **very** slow to respond.\n\n### Our Solution: Custom, Low-Latency Voice Agents\n\nIt took a while for us to get here -- we tried to get a version of this working a year ago by naïvely chaining together transcription, language, and text-to-speech services, but we ran into the problem that most AI voice agent solutions have: the latency was too high, instructing unspecialized models to execute tasks on the phone was difficult, and the realism was just not there.\\\n\\\nFast-forward a few months; our parallel dialer ([eltodialer.com](http://eltodialer.com)) was growing quickly, and we realized that it gave us what we needed to fix our earlier issues: from a small subset of consenting customers, we were able to gather troves of conversational data to train condensed, specialized models that were low-latency and worked well on the phone with prompting and few-shot fine-tuning. The dialer also gave us robust infrastructure for serving and monitoring hundreds of thousands of dials a day.\\\n\\\nWe've used that data and infrastructure to build an end-to-end in-house pipeline for training easy-to-teach, low-latency, realistic voice agents, and have worked with a handful of pilot customers to get the agents to execute tasks consistently. Elto's AI now runs tens of thousands of dials daily with no human oversight, automating work for verticals from logistics providers and healthcare payers to staffing solutions and municipalities, and more, with failure rates lower than those of human callers.\n\n![uploaded image](/media/?type=post&id=80688&key=user_uploads/539546/05909c0f-0456-453f-b49a-94de17a161ca)\n\n\\\n\\\nWe're now making the platform generally available on an invite basis. Sign up for an invite on the site!\\\n\\\nNote: we _do not_ support sales use-cases for Elto AI, due to TCPA regulations. Check out our parallel dialer ([eltodialer.com](http://eltodialer.com)) instead!", "url": "https://www.ycombinator.com/launches/KzQ-elto-ai-the-ai-that-makes-phone-calls", "votes": 22, "created_at": "2024-05-07T20:02:59.841Z" }, { "id": 74607, "title": "Elto: Human-in-the-loop AI call center (50% cheaper than typical call center/BPO)", "tagline": "Powered by AI, Elto automates calls with intelligent agents and human interjection, translating to a 50% lower cost of operations.", "body": "**TLDR:** [**Elto**](https://elto.ai) is a human-in-the-loop AI-powered call center. We automate phone call tasks in ops/support/etc. with AI, while employing a team to oversee the phone calls and interject when necessary. This enables us to offer call center services for a fraction of the price of normal BPO solutions (typically 50% off), while handling more complex tasks, maintaining higher quality conversations, and ramping up more quickly on a task than an AI alone could.\n\nHey everyone,\n\nWe’re excited to launch the evolution of [Elto](https://elto.ai), an AI that makes phone calls, with a great slate of pilot customers calling insurance, tax agencies, and more. Though our initial offering was primarily an AI agent to automate phone calls for ops/support tasks, we’re now expanding to a fully managed human-in-the-loop call center, to enable more complex call tasks and a quicker implementation cycle for the AI.\n\nIf you currently employ a BPO firm, call center, or dedicated team members for handling (non-sales) phone calls, our team will manage the task for 50% less. If you’re interested, please reach out to [**j@elto.ai**](mailto:j@elto.ai) and we can get started with a POC easily.\n\nNote: We do not support outbound sales tasks, due to TCPA regulations.", "url": "https://www.ycombinator.com/launches/JPL-elto-human-in-the-loop-ai-call-center-50-cheaper-than-typical-call-center-bpo", "votes": 13, "created_at": "2023-09-04T17:27:53.447Z" }, { "id": 72727, "title": "Elto - AI-powered parallel dialer", "tagline": "10x your cold-call volume with AI", "body": "TLDR: Elto dials up to 6 prospects at once, detects when a human picks up, and immediately drops the user into the call. Spend less time waiting on dial tones and voicemail, and more time on the phone with engaged prospects. \n\nHey everyone, \n\nWe’re Jagath and Vignesh, and we’re building Elto. Elto is an AI-powered parallel dialer that makes cold-calling _way_ less painful and more productive. \n\n**The Problem** \n\nCold-calling _sucks_. Sitting through dozens of dial-tones and voicemail inboxes can be exhausting and demoralizing, and while getting on the phone with an engaged prospect can be magical, it’s easy to go through multiple _days_ without a productive conversation. With a 3% pickup rate, for example, it can take **2 hours** of dialing to get a prospect on the phone (let alone a prospect who converts!).\n\n**The solution**: Elto **dials 6+ contacts in parallel, detects when someone answers, and connects the pickup to the user.** The rest of the calls disconnect immediately, so they can be re-dialed later.\n\n![uploaded image](/media/?type=post&id=72727&key=user_uploads/539546/969b79ec-53c4-4439-9a66-aa85c97fa272)\n\nUsing Elto increases the number of engaged leads on the phone in a single calling session by an **order of magnitude**. It also integrates seamlessly with your CRM (HubSpot, Salesforce, etc.) and/or SEP ([Apollo.io](http://Apollo.io), Salesloft, Outreach, etc.), so you can import contact lists/sequences/due call tasks and write call recordings, transcriptions, and dispositions back to your platform of choice.\n\n**Want to get started?** [Schedule a time to get set up.](http://calendly.com/elto/elto_get_started)", "url": "https://www.ycombinator.com/launches/Iv1-elto-ai-powered-parallel-dialer", "votes": 22, "created_at": "2023-07-03T14:35:59.607Z" } ] }, { "id": 23000, "name": "Nimbus", "slug": "nimbus-3", "former_names": [ "Dendron" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2be112e240d9597282834a180e55eb8c1a443863.png", "website": "https://nimbus.dev", "all_locations": "Seattle, WA, USA", "long_description": "Our mission is to enable FANG-like observability for every organization in the world. We're starting with an optimization engine to reduce datadog costs by an order of magnitude without manual effort from developers.", "one_liner": "Nimbus reduces Datadog costs by more than 60% without Manual Effort", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1614729315, "tags": [ "Infrastructure", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nimbus-3", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/nimbus-3.json", "year_founded": 2020, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nimbushq/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2be112e240d9597282834a180e55eb8c1a443863.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 161779, "full_name": "Kevin Lin", "title": "Founder", "founder_bio": "Ex-amazon, dev, founder of Nimbus.dev (Reduce Datadog Cost By 60% Without Manual Effort). Previous founder of Dendron.so (Organize information at scale)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/kevinslin-thence", "x_url": "https://twitter.com/kevins8", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b0b96e41d2c1b09d9e5a8ae99a108883e0b2b60.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 23017, "name": "Tractian", "slug": "tractian", "former_names": [ "TRACTIAN" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a76ce0d932f5b9149b08c23515c1d62bbef3229.png", "website": "https://tractian.com", "all_locations": "Atlanta, GA, USA", "long_description": "Tractian transforms machine data into uptime, captures shop-floor know-how, and accelerates manufacturing throughput.", "one_liner": "Physical AI for asset-heavy industries", "team_size": 530, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1613167873, "tags": [ "SaaS", "IoT", "B2B", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tractian", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/tractian.json", "year_founded": 2019, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/get-tractian/", "x_url": "https://twitter.com/tractian/", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tractian", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a76ce0d932f5b9149b08c23515c1d62bbef3229.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 489457, "full_name": "Igor Marinelli", "title": "Founder", "founder_bio": "CEO", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/igormarinelli/", "x_url": "https://twitter.com/igmarinelli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1aa450634a2cde6baf70f7f7ff1449bf67c59433.jpg" } ], "jobs": [ { "id": 62100, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/tractian/jobs/cVGSjVg-sales-development-representative", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 62101, "title": "Sales Account Executive", "url": "https://www.ycombinator.com/companies/tractian/jobs/S4YFJPW-sales-account-executive", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "‘Industrial Copilot’ Tractian Raises Another $120 Million", "url": "https://www.forbes.com/sites/jimvinoski/2024/12/05/industrial-copilot-tractian-raises-another-120-million/", "date": "Dec 05, 2024" } ], "launches": [] }, { "id": 23973, "name": "Jestor", "slug": "jestor", "former_names": [ "jestor" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed71eb78590220cc6aa2f5441853b5ee33591ba5.png", "website": "https://jestor.com", "all_locations": "San Francisco, CA, USA", "long_description": "Stop vibecoding internal tools nobody can maintain. Get apps, tables, forms, dashboards, and AI automations built for your process, on infrastructure that already handles permissions, data, and integrations. Your team just opens the app. Unlimited users, pause anytime.", "one_liner": "Saving OPS from SLOPS. Jestor builds internal systems that last.", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1626482465, "tags": [ "B2B", "Productivity", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/jestor", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/jestor.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/jestor/", "x_url": "https://twitter.com/jestor_nocode", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/jestor", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed71eb78590220cc6aa2f5441853b5ee33591ba5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 488272, "full_name": "Bruno Bannach", "title": "Founder", "founder_bio": "Co-founder and Designer at Jestor", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bruno-lehmann-bannach-07909556/", "x_url": "https://twitter.com/BannachBruno", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a098bcb72a425de978430b21f2db2cac1240ac8b.jpg" } ], "jobs": [], "news": [ { "title": "YC-Backed Jestor Helps Business Teams Create Scalable Operation Workflows", "url": "https://www.forbes.com/sites/frederickdaso/2021/08/18/yc-backed-jestor-helps-business-teams-create-scalable-operation-workflows/?sh=16bf0d46594d", "date": "Aug 18, 2021" } ], "launches": [] }, { "id": 24381, "name": "Sequin", "slug": "sequin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/47b6f40ba43cf8bcab62d5da9b5de194eaf83e88.png", "website": "https://sequinai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Sequin AI is building compliance-first AI voice agents to automate human agent intensive collections calls for consumer lenders and servicers.\r\n\r\nCEO and Co-founder Vrinda Gupta, former Visa product leader who built the Chase Sapphire Reserve credit card and ran audits for top 10 issuers, teamed up with CTO and Co-founder Mark Thomas, former PayPal engineering leader, to bring world-class technology to consumer lending and servicing.\r\n\r\nBacked by Y Combinator, Sequin AI has raised $5.7M from top investors, including executives at OpenAI, the Schwab family, and leading venture funds like Matrix, Commerce Ventures, and Thomvest - the same firms behind some of the most iconic technology companies of our time.\r\n\r\nReach out vrinda@sequinai.com to learn if Sequin's AI Voice Agents can dramatically reduce your cost of collections today.", "one_liner": "Sequin is building AI Voice Agents to automate collections calls for…", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1626371959, "tags": [ "Generative AI", "B2B", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sequin", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/sequin.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sequin-financial", "x_url": "https://twitter.com/sequin_card", "fb_url": "https://www.facebook.com/sequincard/", "cb_url": "https://www.crunchbase.com/organization/sequin-financial", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/47b6f40ba43cf8bcab62d5da9b5de194eaf83e88.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 384658, "full_name": "Vrinda Gupta", "title": "Founder", "founder_bio": "Vrinda Gupta is the CEO & Co-Founder of Sequin, building AI voice agents for consumer lenders and servicers to automate collections efforts. \n\nPreviously, she founded a women-focused neobank being rejected from the very credit card she helped launch (the Chase Sapphire Reserve) as a PM at Visa Inc. Vrinda holds an M.B.A from Berkeley Haas and a B.A. from UCLA. She is a proud first-generation Indian immigrant and currently lives in San Francisco, California.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vrindag/", "x_url": "https://twitter.com/vrinda_tweet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1231bd3e27febbd760c077ca9a99e09e23387924.jpg" }, { "user_id": 756912, "full_name": "Mark Thomas", "title": "Founder", "founder_bio": "CTO & Co-founder at Sequin Financial", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/markmthomas/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3441c2cebd92077b9455ca694cabb0809adb844a.jpg" } ], "jobs": [], "news": [ { "title": "Bay Area startup Sequin addresses gender, racial disparities by helping educate women on finance - ABC7 San Francisco", "url": "https://abc7news.com/women-and-money-finance-financial-literacy-sequin/12481907/", "date": "Nov 22, 2022" }, { "title": "Credit crunch: Sequin CEO Vrinda Gupta talks female finance", "url": "https://fintechmagazine.com/financial-services-finserv/credit-crunch-sequin-ceo-vrinda-gupta-talks-female-finance", "date": "Jan 21, 2022" }, { "title": "I got denied for credit - so I've launched a card to help boost women's scores", "url": "https://www.the-sun.com/money/4240953/launched-debit-card-rejected-credit-sequin/", "date": "Dec 19, 2021" }, { "title": "Debit Card Startup Which Builds Credit For Women Raises $5.7 Million In Total Funding", "url": "https://www.forbes.com/sites/geristengel/2021/09/15/debit-card-startup-builds-credit-for-women/", "date": "Sep 15, 2021" } ], "launches": [ { "id": 71465, "title": "Sequin: Banking designed with women’s best interests in mind - literally! 💪🏽", "tagline": "Meet Sequin: Banking designed to empower women+ financially ", "body": "Tl;dr Sequin Banking Members unlock a high-yield checking account (that’s right, high interest on checking vs. savings!) and personalized debit card with built-in financial education, community, and perks geared towards women’s lifestyles. All genders welcome (18+, US SSN), become a member today at [www.sequincard.com](http://www.sequincard.com)! \n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/2c471f90-3ec6-4655-b06b-7ebd0e56a716)\n\n**I was rejected from the credit card I built at Visa.**\n\nHi everyone! We’re [Vrinda](https://bookface.ycombinator.com/user/384658) + [Mark](https://bookface.ycombinator.com/user/756912), two payments experts (Visa & PayPal) on a mission to close gender-based financial gaps - more below. I developed the Chase Sapphire Reserve at Visa, and was rejected (!) because I lacked credit history due to heavy debit usage. Turns out, 70% of women’s spend is primarily on debit like mine was (Visa data).\n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/d5b0df67-edab-4f25-9937-784a5ec76028)\n\n**The financial world was designed to leave women out of the narrative.** \n\nWomen could be rejected from bank accounts, credit cards, and business loans until 1974 - not ancient history. Despite the fact that women control over [$20T in consumer spending](https://hbr.org/2009/09/the-female-economy) globally, women continue to be systemically disadvantaged when it comes to our finances: \n\n\\-Women’s spend is disproportionately linked to traditional checking accounts, that earn low to no interest (Visa data). \n\n\\-Women are [18% more likely](https://www.bloomberg.com/news/articles/2019-07-29/women-pay-18-more-in-banking-fees-than-men-research-finds) to pay avoidable banking fees like overdraft fees and other “gotchas”, costing $218/yr on average.\n\n\\-Women lack [financial education](https://www.forbes.com/sites/elizabethharris/2018/04/30/new-studies-highlight-why-women-must-become-more-financially-savvy/?sh=661c36877062) which leads us to manage our finances suboptimally, including paying higher interest rates, carrying credit card debt, or being rejected from credit cards more often. \n\nThe original Sequin Card concept was a [debit card that builds credit](https://www.forbes.com/sites/geristengel/2021/09/15/debit-card-startup-builds-credit-for-women/). However, we sunset that product to address gendered financial gaps when they start - with young women’s checking accounts. \n\n**The Sequin Banking Membership is designed with women’s best interests in mind - literally.**\n\n✨[The Sequin Banking Membership](http://www.sequincard.com) unlocks a personalized Sequin Rewards Visa® Debit Card, High-Yield Checking Account (that’s right, high interest on checking!), and $1300+ in value with expert-led financial education, community, and discounts on [Sequin Perks Partners](http://www.sequincard.com/perks) like Rent the Runway, Flex, and more! \n\nOur Sequin Banking Membership model allows us to align with women’s interests: \n\n1. Your checking **balance earns high interest**, while remaining accessible (3.30% APY as of 5/5/23).\n2. Unbiased Recommendations: Sequin doesn’t rely on affiliates, so we can provide unbiased credit card recommendations. We’re also building the ability to link credit cards and receive personalized suggestions to pay off debt or build credit (coming soon)! \n3. No surprise fees, overdrafts, minimums, or “gotchas”.\n\n ![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/fb87dbb3-567e-4f89-b945-5e5fe44e9e87)\n\n\n**Banking built by women, for women (all genders welcome!).** \n\n[Women’s financial health is at a five-year low](https://www.forbes.com/sites/kimelsesser/2022/10/04/heres-why-women-are-worrying-about-money-more-than-men-according-to-new-survey/?sh=6418953914b5). Here’s how Sequin Banking Members spark joy: \n\n1. Financial education: workshops, how-to guides, and courses.  \n2. Community: talk money, woman to woman.\n3. Personalized Coral-Colored Card: Write a favorite motto/affirmation “Who run the world!”\n4. Fight the Pink Tax!: $500+ in savings on women’s health and wellness partners.\n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/d3bb41fc-b4bb-445f-b327-823da12a1a71)\n\n**Who is the Sequin Banking Membership for?** \n\nWhen products are designed with women in mind, they work better for everyone (all genders welcome). The Sequin Banking Membership is especially powerful for heavy-debit users, those working towards a credit goal (building credit/paying off debt), or anyone who has had a negative experience with their traditional bank. Our ideal member is a young professional woman who is looking to step into her financial power with confidence and maintain confidence throughout her life’s financial goals.  \n\n**Our Ask** 🙏🏼\n\n* Become a [Sequin Banking Member](http://www.sequincard.com) (bonus: share your feedback with us at [founders@sequincard.com](mailto:founders@sequincard.com)). \n* Share this post! Please help spread the word (women are less likely to talk about finances).\n* Connect us with any women-focused brand partners! \n* \\*quick blurb to copy & paste: Two Visa & PayPal experts launch the Sequin Banking Membership geared towards empowering women financially. Learn more at [www.sequincard.com](http://www.sequincard.com)!", "url": "https://www.ycombinator.com/launches/Iaf-sequin-banking-designed-with-women-s-best-interests-in-mind-literally", "votes": 46, "created_at": "2023-05-09T18:21:42.584Z" } ] }, { "id": 25866, "name": "Ponyrun", "slug": "ponyrun", "former_names": [ "Asparagus", "Nimbus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a6aa11f944dc1a5cb37880b3a981988db91d193.png", "website": "http://www.ponyrun.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Ponyrun evaluates people for you. We help you answer questions like: Should you sell to them? Are they a good fit for your product? Should you interview them? \r\n\r\nIts easy to use. Give it a search URL or a list of people. Tell Ponyrun what you want to evaluate the person on. And Ponyrun will go through the person's information (e.g. LinkedIn), and evaluate them.", "one_liner": "Automate prospect research at scale", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1644859951, "tags": [ "Analytics", "Sales", "Operations", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ponyrun", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/ponyrun.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ponyrun-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a6aa11f944dc1a5cb37880b3a981988db91d193.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 98074, "full_name": "LIUSHA HUANG", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/liushh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d03e688e5cfd028f96b367cc463f1495cc7c76c.jpg" }, { "user_id": 233073, "full_name": "Neil Chen", "title": "Founder", "founder_bio": "Born and raised in the Northern China. 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Instead of bouncing between a project management app, a shared inbox, a portal solution, and a spreadsheet to track onboarding — BlueHill brings it all into one platform. Your team gets built-in email, structured onboarding workflows, project management, and a complete history of every client interaction. No more lost context, no more switching between tabs, and no more wondering who said what to which client.\r\n\r\nYour clients get a branded portal experience where they can communicate with your team, track progress, and access everything they need — without the confusion of scattered tools and login links. 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In 2016 and 2019 as a teenager Himanshu worked on several hardware and software projects which have active patents. He also studied computer science at the University of Illinois at Urbana-Champaign. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/himanshu-m-2a8329ab/", "x_url": "https://twitter.com/HimanshuMinocha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae114c90fbfa6c650fea97c1a2f539dc50837f31.jpg" }, { "user_id": 1018172, "full_name": "Rohan Minocha", "title": "Founder", "founder_bio": "Rohan Minocha is the Co-Founder and CTO of BlueHill Payments, a platform for expanding payment flexibility for merchants while lowering credit card processing rates. He also currently studies computer science at Stanford University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohan-minocha-19bb42223/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa5875539ee4dd21f092541aa7d652565cebf2ae.jpg" } ], "jobs": [ { "id": 112016, "title": "Business Development Representative (Founding GTM)", "url": "https://www.ycombinator.com/companies/bluehill-payments/jobs/ZGZJpir-business-development-representative-founding-gtm", "location": "Chicago, IL, US / Marlborough, MA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $180K", "equity_range": "0.50% - 2.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 64913, "title": "BlueHill Payments 💳 - Payment Workflows For Scale", "tagline": "Lower merchant fees and increase payment acceptance by choosing the right payment processor to use for each transaction", "body": "## **TL;DR:**\n\nBlueHill makes it easy to connect to different payment service providers and start taking digital payments. We do this by integrating with different payment gateways and offering you the best rates across all payment options for each transaction.\n\n## **🤕 The Problem:**\n\n* As businesses scale, they begin to outgrow their payment systems, leaving them to use multiple tools and software to manage their revenue operations.\n* Maintaining multiple systems increases vendor lock-in and forces businesses to spend more on fees when accepting digital payments.\n* It’s difficult to get lifecycle analytics across multiple payment service providers\n\n## **🤩 The Solution - BlueHill**\n\n![uploaded image](/media/?type=post&id=64913&key=user_uploads/927793/19dd5cc9-72bb-4988-97ea-999e0bfdec8c)\n\n* ✅  Manage all of your revenue and transactions in one place\n* ✅  Use your existing payment service providers\n* ✅  See customer transaction history, LTV, and revenue graphs in real time\n* ✅  Save time and increase billing efficiency\n\n### **🧠 Intelligent Routing Platform:**\n\nBlueHill can support all your payment-related business needs, whether its fast settlement, lower fees or tiered billing with an easy-to-use Dashboard or API. Route transactions to service providers based on rates and business priorities.\n\n![uploaded image](/media/?type=post&id=64913&key=user_uploads/927793/b3438206-ff38-46e7-9479-7456c3247e52)\n\n## **🚀 Our Ask - Join our Pilot**\n\n* We want you! Interested in BlueHill’s solution? Contact us at [founders@bluehillpayments.com](mailto:founders@bluehillpayments.com) or go to \n* Additionally, **if you know any businesses looking to streamline their complex payment operations** and are willing to make an intro please **email us directly**. Any help is appreciated.", "url": "https://www.ycombinator.com/launches/Gsz-bluehill-payments-payment-workflows-for-scale", "votes": 186, "created_at": "2022-07-26T18:52:10.017Z" } ] }, { "id": 27808, "name": "Salient", "slug": "salient", "former_names": [ "Techstyle", "VoxPop" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f78d48c4c1feae2f8495a8a4df57cd2b6fe14153.png", "website": "https://www.trysalient.com", "all_locations": "San Francisco, CA, USA", "long_description": "Salient is an AI workflow automation tool for lenders. We're working with the largest auto lenders in America and are hiring! 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$300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102712, "title": "Full Stack Engineer, Front-End", "url": "https://www.ycombinator.com/companies/salient/jobs/gNsu9fP-full-stack-engineer-front-end", "location": "SF Headquarters", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102717, "title": "Technical Recruiter ", "url": "https://www.ycombinator.com/companies/salient/jobs/oExhPG5-technical-recruiter", "location": "SF Headquarters", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$120K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102718, "title": "AI Deployment Lead", "url": "https://www.ycombinator.com/companies/salient/jobs/uBIgKib-ai-deployment-lead", "location": "SF Headquarters", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$170K - $235K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102719, "title": "Founding Product Designer", "url": "https://www.ycombinator.com/companies/salient/jobs/sR1WLFi-founding-product-designer", "location": "SF Headquarters", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$175K - $230K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112876, "title": "Lead Product Manager, AI Agents", "url": "https://www.ycombinator.com/companies/salient/jobs/7pHivUk-lead-product-manager-ai-agents", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$200K - $320K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114392, "title": "Cloud Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/salient/jobs/Y8QY0fy-cloud-infrastructure-engineer", "location": "SF Headquarters", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114393, "title": "Telephony Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/salient/jobs/kXyfQUm-telephony-infrastructure-engineer", "location": "SF Headquarters", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114394, "title": "Lead Security Engineer", "url": "https://www.ycombinator.com/companies/salient/jobs/dGvyhgk-lead-security-engineer", "location": "SF Headquarters", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $300K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114395, "title": "Senior Product Manager, Marshall", "url": "https://www.ycombinator.com/companies/salient/jobs/kCFih86-senior-product-manager-marshall", "location": "SF Headquarters", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$180K - $280K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114396, "title": "Telephony Specialist", "url": "https://www.ycombinator.com/companies/salient/jobs/8mtp7Pz-telephony-specialist", "location": "SF Headquarters", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How Salient, an AI loan processing startup valued at $500M, grew ARR to $25M", "url": "https://fortune.com/2025/12/18/salients-quiet-ai-boom-how-this-two-year-old-startup-is-building-a-company-to-survive-the-bubble-burst/", "date": "Dec 19, 2025" }, { "title": "Salient: The Fintech Startup Processing $1B+ in Loans with AI", "url": "https://www.youtube.com/watch?v=LX_wvUMxVsk", "date": "Jul 28, 2025" }, { "title": "Loan servicing startup Salient raises $60M Series A", "url": "https://www.axios.com/pro/fintech-deals/2025/07/28/loan-servicing-ai-salient-60-million", "date": "Jul 28, 2025" } ], "launches": [] }, { "id": 27817, "name": "loopfour", "slug": "loopfour", "former_names": [ "Loopfour", "JustPaid.io (Loopfour Inc)", "Loopfour Inc", "JustPaid (Loopfour Inc)", "JustPaid", "JustPaid.io", "JustPaid.ai", "JustPaid" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16284384d06d6162a400238a8b4e998e471fe35b.png", "website": "https://www.loopfour.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "loopfour builds reliable, automated workflows across the tools your business already uses, including NetSuite, QuickBooks, Stripe, and Salesforce.\r\n\r\nNo fragile integrations. No AI hallucinations. Just financial operations that work, every time.\r\n\r\nWe also make JustPaid, our billing automation product.", "one_liner": "Workflow automation, without AI hallucinations.", "team_size": 20, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1676918637, "tags": [ "AI-Enhanced Learning", "Workflow Automation", "Automation", "Operations", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/loopfour", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/loopfour.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/loopfour/", "x_url": "https://twitter.com/getloopfour", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/loopfour", "github_url": "https://github.com/loopfour", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16284384d06d6162a400238a8b4e998e471fe35b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 33968, "full_name": "Daniel Kivatinos", "title": "Founder/CEO", "founder_bio": "loopfour CEO & cofounder.\n\nI’ve worked across multiple startups and raised millions of dollars of venture capital funding over the last several years for my startups.\n\nCofounded DrChrono, acquired in 2021, making DrChrono a top 1% YC exit.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kivatinos/", "x_url": "http://x.com/danielkivatinos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5470edad26a70417bbb76253849ec572e80b3e5.jpg" }, { "user_id": 75267, "full_name": "Anelya Grant", "title": "Founder", "founder_bio": "Immigrant founder solving B2B billing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anelya/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecb189e5e9b74bb022cae24a7f7314772d105318.jpg" }, { "user_id": 352359, "full_name": "Vinay Datta Pinnaka", "title": "Founder", "founder_bio": "Vinay is a co-founder and founding engineer at Loopfour with over 10 years of experience in building scalable web applications. He scaled the billing system for Drchrono to handle $4B+ worth transactions. Vinay holds a master's degree in Computer Science with a specialization in Human-Computer Interaction. He is responsible for overseeing Loopfour's technology strategy and product development", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vinaydatta2020", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/108dc200c3307f336d46050c343f27319e6ee4eb.jpg" } ], "jobs": [ { "id": 100479, "title": "Social Media Intern", "url": "https://www.ycombinator.com/companies/loopfour/jobs/j8cWw7Z-social-media-intern", "location": "Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$25 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Marketing design" ] } ], "news": [ { "title": "Top 5 AI Workflow Automation Tools for Business Operations in 2026 | The AI Journal", "url": "https://aijourn.com/top-5-ai-workflow-automation-tools-for-business-operations-in-2026/", "date": "Aug 21, 2026" }, { "title": "The startup JustPaid drew inspiration from the sitcom Silicon Valley gag into an AI engineer", "url": "https://www.rdworldonline.com/the-startup-justpaid-drew-inspiration-from-the-sitcom-silicon-valley-gag-into-an-ai-engineer/", "date": "Apr 28, 2026" }, { "title": "Meet the Startup That Used AI and OpenClaw to Automate Its Own Developers", "url": "https://www.wsj.com/tech/ai/meet-the-startup-that-used-ai-and-openclaw-to-automate-its-own-developers-9e733351", "date": "Mar 31, 2026" }, { "title": "JustPaid.ai - Automate your AR/AP, Amplify your Cash Flow", "url": "https://www.venturescout.io/p/justpaid", "date": "Mar 12, 2026" }, { "title": "2026 Tech Predictions: The 17 Shifts that will Actually Matter – Silicon Valleys Journal", "url": "https://siliconvalleysjournal.com/2026/02/03/2026-tech-predictions-the-17-shifts-that-will-actually-matter/", "date": "Feb 03, 2026" } ], "launches": [ { "id": 84140, "title": "JustPaid.ai - Automate accounts receivable with the most powerful platform", "tagline": "Meet JustPaid.ai, the billing platform for complex B2B sales.", "body": "[JustPaid.ai](http://JustPaid.ai) is reimagining B2B accounts receivable workflows, stepping away from rigid legacy CPQs, and entering a new era of finance efficiency, connecting CRO and CFO in one place.\n\nWithin seconds, the platform converts fully executed complex sales contracts into dynamic revenue records (customer names, billing parameters, customer notes) - where the journey of each invoice is timely generated, payments are reconciled automatically, and human-like collections workflows guide the cash gently into your bank account.\n\nHere’s a preview: \n\nJustPaid.ai excels in managing complexity and effortlessly handling consumption, tiered plans, renewals, price discounts, and custom SLAs.\n\nIntegrations to support your workflows with:\n\n* API or CSV usage data upload \n* eSignature (Dropbox, PandaDoc, DocuSign, Box)\n* CRM (SalesForce, HubSpot, [Close.io](http://Close.io), PipeDrive, Attio)\n* ERP (Intuit, NetSuite, Xero, Sage)\n* Sales Tax (Avalara, TaxJar)\n* Payments Checkout (Bank payments and Credit Card)\n\n**JustPaid.ai is positioned to help any growing enterprise.**\n\n**Ready to step into the future and consolidate the tools you are using for billing? Email** [**sales@justpaid.ai**](mailto:sales@justpaid.ai)\n\n_Story on the founders:_\n\nJustPaid.ai is the brainchild of Anelya Grant, Daniel Kivatinos, and Vinay Pinnaka.\n\nAnelya is a two-time female founder with a profound understanding of accounting and finance. She led a top accounting practice for tech startups in Silicon Valley for 15 years.\n\nDaniel is a two-time founder and the co-founder of DrChrono, the first YC healthcare company and one of the YC’s top healthcare exits.\n\nVinay is an exceptional software talent with expertise in ML and AI and years of experience building complex billing architecture.\n\nAccounts Receivable is a massive multibillion-dollar market, with around 12%—15% projected growth over the next few years. With companies focusing on improving cash flow management, JustPaid.ai helps them step into the future and reduce the time spent on billing per month, payment reconciliation, and collections.\n\n![uploaded image](/media/?type=post&id=84140&key=user_uploads/75267/38fbbf8b-8120-4d9b-8817-bba675f4f414)\n\n", "url": "https://www.ycombinator.com/launches/Lt6-justpaid-ai-automate-accounts-receivable-with-the-most-powerful-platform", "votes": 51, "created_at": "2024-09-19T16:02:05.483Z" }, { "id": 69443, "title": "JustPaid.io (Loopfour) - Spend confidently with smart financial tools", "tagline": "Automatically check bills and bank charges against contractual pricing from vendors to ensure there are no billing errors.", "body": "### TL;DR\n\n[JustPaid.io](http://JustPaid.io) is the AI-powered controller you wish you had earlier, so you will never have to worry about overpaying bills again.\n\n### Problem\n\nCompanies' current financial processes are disconnected from what you _agreed_ to pay vs. what you were _actually_ charged, even when your vendor makes a billing error. This is what we’re here to resolve.\n\nOn average, United States businesses lose over $300,000 per year alone from invoice fraud totaling $12B. Don’t be a statistic. \n\nWith expanding teams, a lot of vendor workflows are stuck in Slack and inboxes.  We are automating workflows to successfully manage vendors, including contracts, projected spend, W9/W8BEn collection, payment approval and remittance. \n\n### Solution\n\nSaving thousands of dollars in real-time overview of your usage and billing, [JustPaid.io](http://JustPaid.io) provides a centralized experience to automate and manage vendor relationships, overspending, and more to ensure no matter the stage of your organization, you are always in control.\n\nWe collect data from your contracts all in one dashboard and compare it to both your historical as well as ongoing spend. We work with your existing bill payment solution or you can leverage our multi-approval workflow.\n\n### Backstory\n\nOur backstory is founded on personal experience that is often shared by many in the YC Community:\n\n“_My firm and I were handling all the bookkeeping, accounting and controller functions for over 1,000 startups in the past 10 years. It’s the same issues with the lack of workflow. There is always the same persistent disconnect of management and finance teams. Endless emails between so many stakeholders due to the contract negotiation process with no meaningful control when the bill is due. Additionally, collecting W9/W8BEN forms, and setting up payment accounts.”_ \n\n_- Anelya Grant // Co-CEO_ [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n_“As a second-time founder, I know it can be a burden to keep a daily eye on spend, yet it is a necessary part of running a successful startup looking into what is owed and what is paid. I wanted to create a tool I wish I had that gave real-time financial insights. Founders and their teams need a copilot providing a usable dashboard to make them certain about cash flow visibility into their company, giving financial insights real-time.”_\n\n_- Daniel Kivatinos // Co-CEO_ [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n_“I want every founder out there to have accurate financial information at their fingertips so that every employee can feel secure.”_\n\n_- Vinay Pinnaka // Co-Founder and Founding Engineer_ [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n![](https://lh6.googleusercontent.com/aaAXDhjlpZgFRCKiGdU36ksQkCeDyTb-2lNZJYaYrw3Dcle9U271Z_ic4GI8zI6E-Zz1a8MbEPerpl0I76302PBIhVIZVyyaw-Y2bN7FA3jLrCTkEcu0oeGtFV96yBDco3HngTqTXMuyGGGdzKOKhMs)\n\n### Asks\n\nFrom [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_, YC members and others are able to easily self-onboard, connect bank accounts and provide contracts to jump-start the process of agreed vs. charged bill analysis and manage payments. We’re excited to welcome an early adoption of users to not only alleviate their current headaches but also create an open collaboration of feedback together to better advance our solution to exceed your expectations. We are also providing a 50% discount to all YC Companies.", "url": "https://www.ycombinator.com/launches/I43-justpaid-io-loopfour-spend-confidently-with-smart-financial-tools", "votes": 178, "created_at": "2023-02-20T18:34:57.555Z" } ] }, { "id": 27820, "name": "LaunchFlow", "slug": "launchflow", "former_names": [ "FlowState", "Inlet", "launchflow", "LaunchFlow", "infra.new", "LaunchFlow / infra.new", "infra.new" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ba2bf3c743512b0b3cda71e1f81a113f9c1c05c.png", "website": "https://www.launchflow.com/", "all_locations": "Eugene, OR, USA; Remote", "long_description": "Still cooking...\r\n\r\nReach out to josh@launchflow.com if you'd like early access.", "one_liner": "Collaborative workspace for internal tools and agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1675872738, "tags": [ "SaaS", "B2B", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/launchflow", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/launchflow.json", "year_founded": 2023, "city": "Eugene", "country": "US", "linkedin_url": "https://www.linkedin.com/company/launchflow-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/launchflow", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ba2bf3c743512b0b3cda71e1f81a113f9c1c05c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 808343, "full_name": "Josh Tanke", "title": "Founder", "founder_bio": "Previously helped scale data & ml infra at Google[X] and Google Life Sciences.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josh-tanke", "x_url": "https://twitter.com/josh_tanke", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c649a4cb7f132d3ad990c2cf36ec6e0f0b9d86ff.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87449, "title": "Infra.new - AI Copilot for Cloud DevOps", "tagline": "Save money and ship faster on AWS, GCP, and Azure.", "body": "**tl;dr**\\\n[**infra.new**](http://infra.new) is an AI DevTool that configures your cloud infrastructure for cost and security.\n\nYou can set up your entire infrastructure stack from scratch or import your GitHub repository to optimize your existing configuration.\n\nTry it now at [**infra.new**](http://infra.new) – no signup required.\n\n![uploaded image](/media/?type=post&id=87449&key=user_uploads/808343/7e666222-a6d5-4cc8-887e-f341c3d8f10d)\n\n---\n\n---\n\n—\n\n---\n\nHey everyone,\n\nWe're excited to launch [**infra.new**](http://infra.new)—your AI Copilot for Cloud DevOps.\n\nThe cloud is complicated. Engineering teams waste countless hours configuring Infrastructure as Code, CI/CD pipelines, and other related DevOps tooling. Whether you’re setting up a new project or reconfiguring an existing one, manual configurations and unpredictable costs can slow you down.\n\nWe’re building an AI agent specialized in configuring the cloud so engineering teams can focus on shipping their product without sacrificing control or cost.\n\n### **Problems with LLMs and DevOps**\n\n* **Stale Documentation & Configuration Errors:**\\\n LLMs often reference outdated docs and hallucinate fields that don’t exist, resulting in misconfigurations that can cost you time and money.\n* **Hidden Cloud Costs:**\\\n A single tweak can unexpectedly spike your expenses. Without clear visibility, planning your budget is a guessing game.\n* **Lack of Context:**\\\n General-purpose coding agents are great at updating application code, but often struggle to find the subtle connections between different configuration files.\n* **Bad Training Data:**\\\n LLMs will generate an average of the content they see online, but the average cloud configuration online is messy and filled with bugs. Most IaC on Reddit is related to junior devs asking about their configuration.\n\n### **Our Solutions**\n\n* **Fresh Documentation:**\\\n The agent pulls the latest documentation for Terraform, GitHub Actions, and other tools before every change, ensuring your configurations are accurate and current.\n* **Real-Time Cost Calculator:**\\\n You can see a complete breakdown of your cloud costs update in real-time as your configuration changes, so you know exactly how much it will cost before you deploy.\n* **Automated Error Detection & Fixes:**\\\n A dedicated language server scans your configuration for issues and applies fixes automatically, reducing manual debugging.\n* **Expert-Guided Best Practices:**\\\n The agent has access to a corpus of expert human examples that it references to produce configuration that is optimized for performance and security.\n* **Two-Way GitHub Sync:**\\\n Import your existing Terraform, see what it currently costs, ask the agent to look for optimizations, then export any changes back to GitHub.\n\n### **Demo**\n\nWatch me use [infra.new](http://infra.new) to reduce our AWS bill from $400 to $150 with little to no effort in the video below\n\n[Infra.new](http://Infra.new) [Demo - AWS](https://www.loom.com/share/3b7d85b25fd94cfd93ca19c39c188618?sid=f9ca58ca-6bd3-4b97-bd3b-46c842ea8160)\n\n### **Contact Us**\n\nIf you have any questions or feedback, please feel free to reach out!\n\nEmail the founders at [founders@launchflow.com](mailto:founders@launchflow.com) or book some time to chat at ", "url": "https://www.ycombinator.com/launches/MkT-infra-new-ai-copilot-for-cloud-devops", "votes": 18, "created_at": "2025-02-05T19:28:23.002Z" }, { "id": 82326, "title": "LaunchFlow - A Terraform / Pulumi alternative for Python developers", "tagline": "Automate infrastructure on GCP and AWS with Python", "body": "[**LaunchFlow**](https://launchflow.com/) is an Infrastructure as Code Python SDK that extends OpenTofu with features like [**multi-environment support**](https://docs.launchflow.com/docs/concepts/environments), [**autoconfigured infrastructure clients**](https://docs.launchflow.com/docs/concepts/resources), and [**API release management**](https://docs.launchflow.com/docs/concepts/services).\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82326&key=user_uploads/808343/d6958b07-d5be-4547-b751-173b033339c5)\n\nYou can add GCP / AWS infrastructure to your app with a single line of code - all infrastructure types ship with built-in clients that automatically connect to your infrastructure across multiple environments. Includes integrations with [**FastAPI**](https://docs.launchflow.com/docs/framework-guides/fastapi), [**Flask**](https://docs.launchflow.com/docs/framework-guides/flask), and [**Django**](https://docs.launchflow.com/docs/framework-guides/django).\n\n**Try it out**\n\nIt only takes 3 commands to launch your first app to GCP or AWS\n\n1. install the Python SDK with pip\n\n ```\n $ pip install launchflow \n ```\n2. setup launchflow in any Python project\n\n ```\n $ lf init \n ```\n3. deploy everything used in your code to GCP / AWS\n\n ```\n $ lf deploy {env} \n ```\n\nFollow the [**Get Started Guide**](https://docs.launchflow.com/docs/get-started) to launch an example FastAPI app in a matter of minutes.\n\nNo account required.\n\n**Easily collaborate with your team**\n\nLaunchFlow Cloud is an optional service you can use to create collaborative cloud environments that automatically share infrastructure, configuration, and secrets with your team. You can also access preconfigured GitHub release pipelines, audit logs, RBAC security, and more.\n\n![](https://www.launchflow.com/_next/image?url=%2Fhome%2Fconsole.png&w=2048&q=75)\n\nYou and a teammate can try LaunchFlow Cloud 100% free forever - signup at [**console.launchflow.com**](http://console.launchflow.com/) to get started.\n\n**Contact us**\n\nIf you are interested in anything mentioned above, we would love to hear from you!\n\nYou can email us at [**team@launchflow.com**](mailto:team@launchflow.com) or book some time on [**my calendar**](https://calendly.com/josh-from-launchflow/chat).\n\nHappy launching! 🚀", "url": "https://www.ycombinator.com/launches/LPq-launchflow-a-terraform-pulumi-alternative-for-python-developers", "votes": 4, "created_at": "2024-07-22T20:54:00.610Z" }, { "id": 80185, "title": "LaunchFlow: A better developer experience on GCP and AWS", "tagline": "The easiest way to build Python apps on GCP and AWS", "body": "## **TLDR**\n\n[**LaunchFlow**](https://www.launchflow.com/) manages cloud environments in your own GCP / AWS account that are secure, scalable, and cost-effective by default. Import Postgres, Redis, and other cloud resources in your Python code, then deploy everything to your cloud with a single command.\n\n—\n\nLaunchFlow is an [**infrastructure-from-code**](https://infrastructurefromcode.com/) tool that aims to dramatically improve your developer experience on GCP and AWS. We automatically deploy infrastructure to dedicated environments in your cloud as you use it in your code and ensure it's configured for both local development and production deployments.\n\n## **The Problem**\n\nWe believe managing and using cloud infrastructure is far more complex than it should be. It's hard to set up deployment pipelines. It's frustrating to run your application locally. It's annoying to keep your cloud configuration in sync with your application code.\n\nMost teams cobble together their own DevOps automations using a mixture of Terraform, Pulumi, custom scripts, and environment variables. These automations are great when they work but are often brittle and eventually become the main source of overall system complexity.\n\nWe believe there's a better way.\n\n## **The Way**\n\n![](https://lh7-us.googleusercontent.com/86TIu-MtInbRpmbfJWeL50XX54rQ0LV8KadWXaHHZJyZ9pmJ6ZMCKUwHoDLmDDukyiDubynyYQShtBsOLdrrdf08-ZYYEflSKKUIhrb7x9OY8YMNs_OBI_0ydBleeUpuU-jZqe2ycmB_N-PynbDzc7U)\n\nUse LaunchFlow’s Python SDK to import Postgres, Redis, and other cloud resources in your Python code, then deploy everything to dedicated environments in your cloud with a single command.\n\nEverything in the LaunchFlow ecosystem is fully configured for local development and cloud deployments by default.\n\n**Environments**\n\nLaunchFlow **deploys** and **manages** your infrastructure inside [**Environments**](https://docs.launchflow.com/docs/concepts/environments) that run in your own cloud account. These Environments satisfy most compliance requirements by default and are automatically configured for cost, security, and reliability.\n\n![](https://lh7-us.googleusercontent.com/Qa6mHTluFv0JTJqD6JwWs9vzQHmZxtn5j54fqvXUTmieIg20B7nBtZIrTOJ3SquGLPJaYtHvGHUKMuHOmv1zLJge7zLy5KYr8pNzmeSX3abNorK2DQ3I2_2iV6qNP6bRMsh80d1jZFUpjUmAURGpLcY)\n\n**Resources**\n\nYou can **create** and **connect** to cloud [**Resources**](https://docs.launchflow.com/docs/concepts/resources) in an Environment by simply importing them into your code. Our SDK provides ready-to-use client APIs for every Resource so you can immediately start using them in your application both locally and when deployed.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80185&key=user_uploads/808343/085c12a5-8f53-44b9-8a97-1799f53ff2f4)\n\n**Deployments**\n\nYou can **build** and **deploy** Python applications in the same environment as your resources with a single command. LaunchFlow [**Services**](https://docs.launchflow.com/docs/concepts/services) lets you deploy your APIs to GCP / AWS with all resource permissions and networking settings automatically configured. We will be adding Jobs and Notebook deployments in the next couple of months.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80185&key=user_uploads/808343/b7c23093-c085-4a3d-97ac-60ebb78d92f5)\n\n## **Works anywhere that Python runs**\n\nLaunchFlow Resources manages its own configuration and can be plugged into any existing Python app. We’re framework-agnostic and work anywhere that Python runs - we also include a library of common utilities for building FastAPI, Flask, and Django apps on the cloud.\n\n## **Why not just use Terraform / Pulumi?**\n\nTools like Terraform and Pulumi make it easy to automate cloud infrastructure, but there is still an added cost of maintaining a separate IaC tool and keeping it in sync with your application encode.\n\nOn top of this, these tools only help you create the infrastructure, but they don't help you actually _use_ it. Engineers can spin up infrastructure in a few minutes, but they'll often spend the rest of the day (or longer) stumbling through docs and blogs, trying to figure out how to actually connect it to their application.\n\nThings only get worse once you add a release pipeline into the mix and now need to figure out how to structure your code to work across multiple environments.\n\nThis creates a tradeoff between automation and overall system complexity, which is why many teams put off IaC practices until they can afford a DevOps engineer/team to maintain the automations for the company.\n\n## **Our ask**\n\nWe are looking for pilot users who would like to start using LaunchFlow today.\n\nIf you’re interested in using LaunchFlow, please email me at [**josh@launchflow.com**](mailto:josh@launchflow.com) or schedule a demo call using my [**Calendly**](https://calendly.com/josh-from-launchflow/one-on-one-with-josh-founder).\n\nHappy launching! 🚀", "url": "https://www.ycombinator.com/launches/KrJ-launchflow-a-better-developer-experience-on-gcp-and-aws", "votes": 8, "created_at": "2024-04-15T17:39:39.355Z" } ] }, { "id": 28369, "name": "Warp", "slug": "warp", "former_names": [ "WarpSpeed" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9b1d03584239acca9b7673ae88585f25fe796b0.png", "website": "https://www.warp.co/", "all_locations": "New York City, NY, USA", "long_description": "Warp is the AI-native employee management platform for high-growth companies. We run payroll, HR, compliance, benefits, and IT on a single platform for companies from 5 to 10,000 employees, using AI agents to complete the work that legacy systems leave to people.\r\n\r\nWe've raised $85M from Battery Ventures, Peak XV, Sound Ventures (Ashton Kutcher), Sapphire, A-Star, SV Angel, and Homebrew Capital.\r\n\r\nSome of the fastest growing companies of today trust Warp to reduce HR and admin overhead so they build faster. We're proud to serve top startups like Serval, Bland, Greptile, Reducto, Corgi, Campfire, alongside our mid-size and enterprise customers.\r\n\r\nWe're humbled to have the backing of people who have built some of the most important companies of the last two decades: Shopify CEO Tobi Lütke, former Stripe COO Claire Hughes Johnson, Dropbox co-founders Drew Houston and Arash Ferdowsi, former Coinbase CTO Balaji Srinivasan, Eventbrite founder Kevin Hartz, former Cruise founder Kyle Vogt, and Replit founder Amjad Masad.", "one_liner": "AI-native Employee Management Platform for High-Growth Companies", "team_size": 80, "industry": "B2B", "subindustry": "B2B", "launched_at": 1677261125, "tags": [ "B2B", "HR Tech", "Payroll", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/warp", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/warp.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/warpdotco/", "x_url": "https://www.twitter.com/warpdotco", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/warp-e7b9", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9b1d03584239acca9b7673ae88585f25fe796b0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1247031, "full_name": "Ayush Sharma", "title": "Founder", "founder_bio": "CEO, Warp | Previously, MIT CS + Physics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayushsharma01/", "x_url": "https://x.com/ayushswrites", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b310c4c7ac15d3b62179579744c3bc3dc16e98a.jpg" } ], "jobs": [], "news": [ { "title": "How Warp Went From YC to a $60M Series B", "url": "https://www.youtube.com/watch?v=80eZ7DjCGSo", "date": "Jun 26, 2026" }, { "title": "Warp raises $60m to go up against ADP, Rippling", "url": "https://www.axios.com/pro/all-deals/2026/06/25/warp-60-million-workday-rippling", "date": "Jun 25, 2026" } ], "launches": [] }, { "id": 28799, "name": "Remy", "slug": "remy", "former_names": [ "Remy Security" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93b0f6a6d9697c73c56e4ffd40933940d124fb99.png", "website": "https://www.startremy.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Remy automates insurance-related tasks for practices, starting with phone calls to verify patient benefits and check on claims.", "one_liner": "Making it simpler for medical clinics to work with insurance", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1687066070, "tags": [ "Generative AI", "Health Insurance", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "Healthcare", "Healthcare Services" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/remy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/remy.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/remysec", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/remy-security", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93b0f6a6d9697c73c56e4ffd40933940d124fb99.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1306652, "full_name": "Sten Sjöberg", "title": "Founder", "founder_bio": "I'm co-founder and CEO at Remy Security. Before Remy, I was a security automation PM at Microsoft's security team. My team owned the product security review process including secure development lifecycle assessments, design reviews and penetration testing. Before Microsoft, I took all the security classes they offered to Princeton CS undergrads and published research in the Symposium on Usable Privacy and Security (SOUPS).", "is_active": false, "linkedin_url": "https://linkedin.com/in/stensjoberg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/072e01c0b066b39f10c1f63b74e0ba49a33c2724.jpg" }, { "user_id": 1360703, "full_name": "Kevin Kim", "title": "Founder", "founder_bio": "Founder @ Remy Security. Previously SWE at ExtraHop, Rice CS.", "is_active": false, "linkedin_url": "https://linkedin.com/in/kev3522", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53399b4ef8d53a634b60b63ae8e619ad49d49c6b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72542, "title": "Remy Security - AI-powered security design reviews", "tagline": "Reduce the cost and effort of proactively securing product.", "body": "Hi everyone! We’re [Sten](https://www.linkedin.com/in/stensjoberg/) and [Kevin](https://www.linkedin.com/in/minhwan/), founders of [Remy Security](https://www.remysec.com).\n\n**Remy helps security teams conduct security design reviews more quickly and effectively.** Using LLMs to analyze the design documents, Remy generates targeted insights and questions to raise to the authors.\n\n### Problem\n\nSecurity design reviews are essential during the software development cycle as they mitigate risks before they become problems down the line. It’s more expensive to address breaches than it is to look for potential weaknesses at design time.\n\n**It’s difficult and expensive to review designs.** The types of threats that the reviewer must consider are endless, and it’s easy to miss key risk areas even for experts. Security team and engineering team members must meet in order to discuss the design’s context and the risks that need to be addressed. Such meetings are expensive, time-consuming, and often disorganized.\n\n**Security teams are understaffed.** A 1:60 ratio is common for headcount between security and engineering staff. With such a skew, security teams often struggle to keep up with requests, forcing them to skip reviews or delay the development lifecycle.\n\n### Solution\n\nRemy finds designs that the security team should be aware of and makes a first pass at reviewing them using LLMs. It hands off its assessment to members of the security team, who make the final judgements on what questions/comments need to be raised in the document.\n\nUsers can view a list of designs to review, view their risk levels, and prioritize the most important ones to work on.\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/5de6450e-ab7f-4fab-ae7f-8c1e9816da45)\n\nFor each document, Remy generates questions and feedback for you to send to the authors. Leveraging LLMs, Remy provides targeted insights into the specific risks of each design.\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/767b3d20-1fb2-4a06-84e0-8c60a0f7aeac)\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/d13cf468-9a97-446b-83e3-8d3aa3a4a254)\n\n### Asks\n\n* Do you work with security reviews? [Get in touch and let us know how we can help](https://www.notion.so/9d05093eec4642b7a433edad066b35ba?pvs=21) or [sign up for early access](https://remysec.com/early-access)!\n* Know someone who does security reviews? Please share this launch with them!", "url": "https://www.ycombinator.com/launches/Is2-remy-security-ai-powered-security-design-reviews", "votes": 30, "created_at": "2023-06-26T15:44:30.053Z" } ] }, { "id": 29238, "name": "Duckie", "slug": "duckie", "former_names": [ "Duckie AI (formerly Musa AI)", "Duckie AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a8142dd4308f44a79489c6b5d5abf67e4fe5ab1.png", "website": "https://duckie.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Duckie lets customer support teams build their own AI agents in minutes! \r\n\r\nWith Duckie, support teams can translate their tasks and processes into predictable and reliable AI workflows that saves them time and money. Folks use Duckie to handle a wide range of use cases, from answers customers technical questions to processing refunds, and everything in between.", "one_liner": "Build AI Support Agents in Minutes", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1697309167, "tags": [ "Generative AI", "Customer Support", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/duckie", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/duckie.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/duckie-ai/", "x_url": "https://twitter.com/duckie_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a8142dd4308f44a79489c6b5d5abf67e4fe5ab1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1422402, "full_name": "Valerie Li", "title": "Founder", "founder_bio": "Cofounder and CEO of Duckie. Prior to Duckie, she has been a senior engineer for 6+ years with expertise in infrastructure.\nShe was a tech lead at Netflix for 3 years, where she led the subscriber growth project that stopped password sharing, which added 8m new subscribers and $200m in revenue (and saved the company's stock price).\nBefore that she was an engineer at LinkedIn, and got her Computer Science degree from USC.", "is_active": true, "linkedin_url": "https://linkedin.com/in/peifeili", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0ff88e00eb5b518161ae922d5fffedf5bf7c026b.jpg" }, { "user_id": 515585, "full_name": "Joel Ritossa", "title": "Founder", "founder_bio": "Co-founder and CTO at Duckie. Former AI Software Engineer at C3 AI, built Enterprise AI solutions. Princeton CS Class of 2020. Solving technical support with Valerie Li.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joel-ritossa", "x_url": "https://twitter.com/JoelRitossa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec052de71589950c3000764c62f1597ae5c1ce30.jpg" } ], "jobs": [ { "id": 82671, "title": "Founding Business Development Representative", "url": "https://www.ycombinator.com/companies/duckie/jobs/uDANlkc-founding-business-development-representative", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "0.25% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 103196, "title": "AI Agent Engineer", "url": "https://www.ycombinator.com/companies/duckie/jobs/McnwK78-ai-agent-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $130K", "equity_range": "5.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 78906, "title": "Duckie: Your AI technical support assistant 🐥", "tagline": "AI technical support assistant that helps teams resolve issues in minutes", "body": "Quack! We are [Valerie](https://linkedin.com/in/peifeili) and [Joel](https://linkedin.com/in/joel-ritossa), and we are happy to introduce [Duckie](https://duckie.ai/), an AI technical support assistant that helps teams resolve issues in minutes.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/89898/c8ebe519-8f16-44d1-90be-4d314325946d)\n\n[ ](https://www.youtube.com/watch?v=fycJPu47u1E&feature=youtu.be)\n\n## **Problem - Too many support requests, too little time.**\n\nResolving technical issues takes a lot of time, and they are often time-sensitive. Most issues can be solved with better knowledge-sharing. So much relevant information is in your team’s knowledge base, but it’s tough to find.\n\n* A lot of important information is tribal knowledge stuck in a teammate’s head.\n* Written knowledge is still siloed and scattered across Slack, Jira, docs, everywhere!\n* Once you find the docs, they’re always out of date (who likes writing documentation??).\n\n## **Solution**\n\nDuckie connects to your team’s knowledge sources (i.e. Slack, Jira, Confluence, Sentry, etc) to find relevant information and **generate issue resolutions** in minutes while writing back to your documentation to **keep the knowledge base up-to-date**.\n\nIs your customer getting an error message while OAuthing into your product? Duckie’s there to help. Your user is facing an issue using your API? Duckie can handle that. Your new engineer is having trouble setting up a local environment? Leave it to Duckie!\n\n### Instantly understand your issue and how to resolve it\n\nWhen a new issue comes up in your support channel, Duckie responds in the thread with where to look and how to resolve it, with reference sources.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/434842de-d831-4a1e-8f10-3f993b3e9991)\n\n### Conversational copilot to investigate with you\n\nHave follow-up questions? Instead of waiting for hours for human responses, Duckie responds instantly and gets you unblocked ASAP. \n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/fba57457-07b7-43d7-8cd7-9dc5affe311c)\n\n### Keep your documentation up-to-date automatically\n\nDuckie keeps your team’s documentation up-to-date with learning picked up during issue resolution. Duckie also handles post-mortems, status updates, and more.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/47063fac-d439-4af0-a372-b19e2122b084)\n\n## **Our Ask**\n\n1. [Book a demo](https://calendly.com/valerie-li-duckie/meet) with us to get Duckie live in your channel!\n2. Questions, thoughts, feedback, or want a Duckie swag? Email us at [founders@duckie.ai](mailto:founders@duckie.ai)!", "url": "https://www.ycombinator.com/launches/KWg-duckie-your-ai-technical-support-assistant", "votes": 182, "created_at": "2024-02-29T19:10:57.504Z" } ] }, { "id": 29258, "name": "Saga AI", "slug": "saga-ai", "former_names": [ "Odyssey", "Tile", "Tiles", "Tile" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/072186e7f08d3f47c6fb58088ebab611a4e67cd8.png", "website": "https://usesaga.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Saga AI deploys voice agents for healthcare practices, ACOs, and health systems to handle scheduling, patient intake, and care gap outreach. Agents connect directly to your EHR in real time.", "one_liner": "Voice Agents for Healthcare Operations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1710167593, "tags": [ "SaaS", "Healthcare", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/saga-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/saga-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/102820110/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/072186e7f08d3f47c6fb58088ebab611a4e67cd8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1531285, "full_name": "Jenica Zhong", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO of Tile. She was previously at Palantir for 4 years as a PM on their big data product (Foundry), Tactical Intelligence Targeting Access Node (TITAN), and AI-Assisted Decisions for Defense (Gotham). She majored in math at Harvard specializing in differential topology. She is also a math olympian who still enjoys solving USAMO problems in her free time as well as running marathons and oil painting (national-award winner!).", "is_active": true, "linkedin_url": "https://linkedin.com/in/jenica-zhong", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3842357b5b60a5405bc5ec178f5324db9acbe2c1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79262, "title": "Tile: AI-first SQL notebook for building stunning data apps", "tagline": "A notebook with visual, low-code and SQL tiles. Every tile compiles to SQL so your work will never get stuck in a proprietary format.", "body": "Hi! We’re building [Tile](https://tile.sh/).\n\n### **About Us**\n\n[Jenica](https://linkedin.com/in/jenica-zhong) and [Jessica](https://linkedin.com/in/jfang707) have collectively spent 9 years data wrangling at Palantir. We have built AI models and analytics products for both commercial enterprise and defense customers. Before Palantir, Jenica studied Math/CS at Harvard, and Jessica studied CS at MIT.\n\n### **Problem**\n\n**1\\.   SQL is verbose and hard to use for exploratory data analysis**\n\nData analysis is an iterative and investigative process. While SQL remains the most powerful language for working with data, SQL syntax results in long code blocks that are unforgiving when trying to quickly explore data.\n\n**2\\. Plain english is good for describing a high level query, but not the right UI for refinement**\n\nAI has been an incredible technology for fetching the right general data and columns on a well-defined and metadata-rich semantic layer. However, analysts must write long descriptive sentences to refine the query.\n\n### **Solution**\n\n**Tile allows anyone to explore and investigate their data in modularized steps without the clunky syntax of SQL.**\n\nOnce the insight is found, convert your tiles to a SQL block so you still have the robustness of code when building reports to share this insight with others.\n\n**Vision: The future is AI-enabled data analysis and report building. However, for it to work, explainability will be key. Tile will allow AI to show its work with step-by-step tiles and allow end users to fine-tune its responses.**\n\n**Demo: Learn how Dwight can use Tile to explore Dunder Mifflin’s transactions data**\n\n\n\n### **Try Tile with your data**\n\n[Sign up for a free 14 day trial](https://www.tile.sh/free-trial-sign-up) using Tile with your data! Reach out to [jenica@tile.sh](mailto:jenica@tile.sh) for specific questions.\n\n![uploaded image](/media/?type=post&id=79262&key=user_uploads/1531285/e8f02166-1e64-4b01-9628-3065aaee99c5)\n\n", "url": "https://www.ycombinator.com/launches/KcQ-tile-ai-first-sql-notebook-for-building-stunning-data-apps", "votes": 162, "created_at": "2024-03-11T17:00:06.887Z" } ] }, { "id": 29298, "name": "Greenboard", "slug": "greenboard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b27383428d763a236956940e76e892fc851162b4.png", "website": "https://www.greenboard.com", "all_locations": "New York City, NY, USA", "long_description": "At Greenboard, we're building the future of financial compliance. Greenboard is the unified, AI-native compliance operating system for RIAs, fintechs, private funds, hedge funds, and more. It replaces the fragmented mix of legacy tools and automates more than previously possible. By centralizing data and workflows, Greenboard helps firms reduce regulatory risk, simplify their technology stack, modernize how they run compliance, and save money. \r\n\r\n\r\nGreenboard's mission is to enable financial institutions to operate their back office teams at a higher standard, with half of the headcount. We’re starting with compliance", "one_liner": "Modern OS for the financial back office. ", "team_size": 35, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1700498020, "tags": [ "Fintech", "SaaS", "Compliance", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/greenboard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/greenboard.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/greenboard-compliance/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b27383428d763a236956940e76e892fc851162b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 436183, "full_name": "Dave Feldman", "title": "Founder/CEO", "founder_bio": "Prior to founding Greenboard, Dave worked in Product at Guideline, where he led teams that built core systems including Guideline’s financial recordkeeping engine. Before that, Dave led Hive AI’s joint venture with Bain & Company.\n\nDave holds a BS in Chemical and Biomolecular Engineering and an MS in Computer Science from Johns Hopkins University. In his spare time, Dave is an avid outdoorsman who enjoys hiking, sailing, and downhill skiing.", "is_active": true, "linkedin_url": "https://linkedin.com/in/david-feldman", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f0b7909c14f54e4a000872d459844b249c0b669.jpg" }, { "user_id": 504880, "full_name": "Edward Schembor", "title": "Founder/CTO", "founder_bio": "Before Greenboard, Ed led Product for Amazon's search navigation experience and worked on the founding Amazon Fashion catalog team. Before that, Ed worked as an engineer scaling Amazon's email-based product recommendation systems and on the internal machine learning team that eventually went on to become AWS Sagemaker. Ed holds a BS in Computer Science from Johns Hopkins University. Outside of work, Ed boulders and explores the NYC food scene.", "is_active": true, "linkedin_url": "https://linkedin.com/in/edwardschembor", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3fd8c0d56a7a15723cf7a991c98bb7c12da36c82.jpg" } ], "jobs": [ { "id": 75854, "title": "Sr. Software Engineer", "url": "https://www.ycombinator.com/companies/greenboard/jobs/bSRbcV3-sr-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$180K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 75855, "title": "Full-Stack Software Engineer", "url": "https://www.ycombinator.com/companies/greenboard/jobs/LnGJvRx-full-stack-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$140K - $180K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110615, "title": "AI Automation Engineer", "url": "https://www.ycombinator.com/companies/greenboard/jobs/uuDMjBY-ai-automation-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114397, "title": "Content Marketing Manager", "url": "https://www.ycombinator.com/companies/greenboard/jobs/MJchXkw-content-marketing-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114406, "title": "Enterprise Account Executive ", "url": "https://www.ycombinator.com/companies/greenboard/jobs/nf0h8ZX-enterprise-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$225K - $350K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Compliance software startup Greenboard raises $4.5M seed", "url": "https://www.axios.com/pro/fintech-deals/2024/05/08/compliance-software-startup-greenboard-raises-seed", "date": "May 08, 2024" } ], "launches": [ { "id": 78359, "title": "Greenboard — \"Rippling\" for financial compliance & operations", "tagline": "Fintechs, private funds, and wealth managers use Greenboard to consolidate compliance software and detect risk using AI ", "body": "Hi 👋, we’re [Dave](https://www.linkedin.com/in/david-feldman/) and [Ed](https://www.linkedin.com/in/edwardschembor/), cofounders of [Greenboard](https://www.greenboard.io/).\n\n### **TLDR;**\n\nGreenboard allows financial firms to consolidate financial compliance software onto a single, easy-to-use platform. Cost-savings and streamlined experience are often what drive customers to sign - but the real magic of Greenboard happens when we aggregate our customers’ relevant data onto a single platform that uses AI to detect risk faster and more reliably than previously possible.\n\nIf you’re a fintech or compliance leader get in touch at [founders@greenboard.io](https://mailto:founders@greenboard.io).\n\n### **The problem:** financial compliance software is fragmented and bad. Maintaining compliance is hard.\n\nIn addition to paying for software, financial firms currently hire expensive consultants and large compliance teams to help maintain compliance, but this isn’t really working. Some recent examples:\n\n* [\\~$300M in fines handed out to big banks for not archiving communications](https://www.sec.gov/news/press-release/2023-149)\n* [$100M lawsuit between a regulated firm and their consultants over an egregious compliance violation](https://www.bloomberg.com/opinion/articles/2024-01-25/sure-blame-the-compliance-consultant)\n\n### **Our solution:** consolidated, human-centric software to drive a culture of compliance. AI to detect risk faster and more reliably than ever before.\n\nFinancial compliance teams today often pay for 2+ different software solutions for things like communications archiving, compliance program management, screening trades for conflicts of interest, tracking and approving marketing content, etc.\n\nGreenboard changes this by bringing all core compliance functionality onto a single platform (starting with the compliance needs of RIAs). See [greenboard.io](https://www.greenboard.io/features) for more info.\n\n![](https://greenboard-uploads.s3.us-west-1.amazonaws.com/site/flows.svg)\n\n![](https://greenboard-uploads.s3.us-west-1.amazonaws.com/site/transaction_data.svg)\n\nThe dynamics of the space remind us of HR/IT software pre-Rippling in a few ways:\n\n* A lot of fragmented functionality is needed on top of a core system of record. A lot of the needed functionality ultimately comes down to CRUD operations + collaborative tooling.\n* Clear sets of power users exist (compliance teams for us, HR people at Rippling) but everyone in an organization needs a login\n* Spend on software matters in non-revenue generating areas, and many organizations would love to consolidate vendors.\n\n### **Humans, machines, and the future of financial compliance**\n\nA super reductive checklist on how to maintain financial compliance looks something like this:\n\n1. Keep detailed records of dozens of things having to do with your business, employees, and customers\n2. Examine these records and look for bad (non-compliant) things that might be happening\n3. Address the bad things that you found and put processes in place to prevent these things from happening in the future\n\nCurrently, the technology adoption rate is high for 1) and low for 2) and 3).\n\nIt wasn’t always the case that financial firms could count on cheap hard drives and cloud computing to keep records. Not long ago when filing cabinets (and file rooms) were the norm recordkeeping required substantial resources. It turns out that computers are cheaper and better than humans at storing files by such a wide margin that there are no longer roles for file clerks in the economy.\n\nOur thesis is that GPU-powered computational statistics will similarly transform step 2) above. Ultimately machines, not humans, will prove to be meaningfully better at examining records for _potential_ compliance issues so compliance people can make determinations on compliance risk and mitigation.\n\n### **Asks**\n\nIf you’re a fintech or compliance leader we’d love to hear from you. You can reach us at [founders@greenboard.io](https://mailto:founders@greenboard.io).", "url": "https://www.ycombinator.com/launches/KNr-greenboard-rippling-for-financial-compliance-operations", "votes": 31, "created_at": "2024-02-12T21:58:29.466Z" } ] }, { "id": 29380, "name": "Conduit", "slug": "conduit-ai", "former_names": [ "HostAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b7203ae9cb780218b08e159ff4d1da47aae0c79a.png", "website": "https://conduit.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Conduit is the leading AI agent platform for hospitality operations.\r\n\r\nOperators can create, test, and run AI agents on Conduit's harness purpose built for hospitality. On-brand agents handles the full guest journey, converting inquiries into bookings and driving upsell revenue, then runs internal operations and surfaces insights for leadership. All connected to the systems operators already use. \r\n\r\nTrusted by over 1000+ global hospitality brands across 120+ countries.", "one_liner": "AI Agents for Hospitality", "team_size": 15, "industry": "B2B", "subindustry": "B2B", "launched_at": 1707775068, "tags": [ "Travel", "Customer Service", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/conduit-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/conduit-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/useconduitai", "x_url": "https://www.x.com/conduitai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b7203ae9cb780218b08e159ff4d1da47aae0c79a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02e4360e00d9e1ae8f1449e6ac1eec238a6457d9.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1382533, "full_name": "Cole Rubin", "title": "Founder/CEO", "founder_bio": "real estate & tech", "is_active": true, "linkedin_url": "https://linkedin.com/in/colerubin", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1436666376a0a2c6af04d6fbe54192f691171593.jpg" }, { "user_id": 1073248, "full_name": "Punn Kam", "title": "Founder/CTO", "founder_bio": "Agents that run the built world. ex-Google, prop-tech, trading/MMing.", "is_active": true, "linkedin_url": "https://linkedin.com/in/punnkam", "x_url": "https://x.com/punnkam", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e2893b81567f888cc6f59e3a0cbf2e3fcc32b62.jpg" } ], "jobs": [ { "id": 77123, "title": "Agent Product Manager", "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/xY3NkA8-agent-product-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$120K - $220K", "equity_range": "0.10% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 80475, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/cJoje4G-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $220K", "equity_range": "0.20% - 1.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90378, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/TIcKDJk-account-executive", "location": "San Francisco, CA", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$180K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90390, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/bO1GFfX-sales-development-representative", "location": "San Francisco, CA", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $140K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104836, "title": "Head of Marketing", "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/rNQxsat-head-of-marketing", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $220K", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106275, "title": "VP of Sales", "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/4FRNpYY-vp-of-sales", "location": "San Francisco, CA", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$500K - $750K", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112280, "title": "Head of Business Development", "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/4usYhQz-head-of-business-development", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$180K - $220K", "equity_range": "0.20% - 0.75%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117396, "title": "GTM Engineer", "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/diELayJ-gtm-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$180K - $240K", "equity_range": "0.20% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 89389, "title": "Conduit: Conversational AI agents for housing and hospitality", "tagline": "AI agents that transform conversations into a source of conversions, revenue, and cost savings—without compromising on high-quality support.", "body": "Customer conversations are the backbone of every business. Conduit deploys AI agents that transform conversations into a source of conversions, revenue, and cost savings—without compromising on high-quality support.\n\nWe’re starting in housing and hospitality, where communication _is_ the operation. Whether it’s leasing, scheduling, or support, every core operation in housing and hospitality starts with a conversation.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/075a7605-c68b-411c-a5b4-994a1e5b63fc)\n\nWith the full context of your business, Conduit can talk to customers over text and voice like your best employee—responsive, consistent, and sharp, while knowing exactly when to bring in a human. And they don’t just answer questions, they drive conversations toward outcomes that matter.\n\nConduit works autonomously, but never in the dark. We give you full visibility into performance, with the ability to inspect, adjust, and improve how agents operate, so you can stay hands-off without losing control. AI is only as powerful as your ability to understand and direct it. We give you both.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/2eb14601-fde1-4e92-9193-d9cd9489fa22)\n\nLevel up your operation with Conduit—the conversational backbone of AI-forward companies.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/83805d2f-2aea-407a-80c9-2f140151512d)\n\n", "url": "https://www.ycombinator.com/launches/NFl-conduit-conversational-ai-agents-for-housing-and-hospitality", "votes": 18, "created_at": "2025-04-10T14:33:20.052Z" }, { "id": 78716, "title": "🏠 HostAI - The operating system for vacation rentals", "tagline": "We provide an all-in-one platform that helps vacation rental managers deliver 5-star guest experiences at scale.", "body": "**Tl;dr:** HostAI streamlines guest services, team management, maintenance, and marketing for vacation rental managers. We remove the complexity of management so managers can focus on providing great hospitality. \n\nHi everyone, we’re Punn and Cole, the founders of [HostAI](https://www.hostai.app/).\n\n![uploaded image](/media/?type=post&id=78716&key=user_uploads/1382533/4b1e29ef-79e7-4bac-9b2c-e335b5377539)\n\n[Punn:](https://www.linkedin.com/in/punnkam/) Ex-Google engineer and proptech builder.\n\n[Cole:](https://www.linkedin.com/in/colerubin/) Vacation rental manager and real estate developer. \n\n❌ **Problem:** Vacation rental management is hard\n\nIt’s like operating 50 different hotel rooms spread across an entire region. Each property requires its own processes, rules, and team members. Managers use 5-10 different third-party apps to manage everything effectively.\n\nA fragmented tech stack creates multiple failure points for something to get missed, which can negatively impact the guest experience (i.e. the door code didn’t get updated before their check-in).\n\n✅ **Our Solution:** Compound Software\n\nHostAI aggregates information and builds native tools that make managing easier. We also provide modern integrations that enable managers to build workflows to the tools they already use (i.e. Slack or Notion).\n\nOur main features include: \n\n* **Guest communication:** Handle phone calls and messaging in one place\n* **Payroll and Compliance:** Pay team members and manage permits\n* **Maintenance management:** Ticketing automation and assignment with AI\n* **Loyalty programs:** Encourage rebookings and build a boutique travel brand\n* **IoT integrations:** Seamless communication with your hardware (i.e. door locks & thermostats)\n\n![uploaded image](/media/?type=post&id=78716&key=user_uploads/1382533/26e19b6f-8226-486f-9955-67996aa3ff60)\n\n**🚀Ask**\n\n1. Connect us to vacation rental managers or hosts ([cole@hostai.app](mailto:cole@hostai.app))\n2. Next time you stay in an Airbnb or VRBO message your host our website ([hostai.app](https://hostai.app))", "url": "https://www.ycombinator.com/launches/KTc-hostai-the-operating-system-for-vacation-rentals", "votes": 338, "created_at": "2024-02-25T04:38:04.313Z" } ] }, { "id": 29404, "name": "Diana", "slug": "diana", "former_names": [ "DianaHR" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/020f142d48a9efde3733971776a68c441557dfe7.png", "website": "https://getdiana.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The first business-ready OpenClaw platform. A secure AI assistant embedded directly into Slack.", "one_liner": "Give Your Employee An Employee", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1706475260, "tags": [ "Productivity", "SMB", "Operations", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/diana", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/diana.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getdiana/", "x_url": "https://x.com/getdiana", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/020f142d48a9efde3733971776a68c441557dfe7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5188108d58ba66cadccba2f67ac385cbc19c6139.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0633e13cdc4f006028908d59a5ad054b4b713ab3.png" ], "primary_partner": null, "founders": [ { "user_id": 128506, "full_name": "Upeka Bee", "title": "Founder/CEO", "founder_bio": "Upeka is the co-founder and CEO of Diana. Before Diana, she was Head of Engineering for Gusto's HR Platform, and before that, Salesforce and a string of startups.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/upeka/", "x_url": "https://twitter.com/upekabee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c99381b1238cb20482c9e6ec548e0acb1d74129.jpg" } ], "jobs": [], "news": [ { "title": "DianaHR Raises $3.7M Seed Round to Redefine HR for Startups with AI Agents | DianaHR", "url": "https://www.getdianahr.com/blog/dianahr-raises-3-7m-seed-round-to-redefine-hr-for-startups-with-ai-agents", "date": "Sep 15, 2025" } ], "launches": [ { "id": 99731, "title": "Diana - Give Your Employee An Employee", "tagline": "The first business-ready OpenClaw platform. A governed AI assistant for every employee, embedded directly into Slack.", "body": "Hey YC! 👋\n\nWe're [Upeka](https://x.com/upekabee) and [Dilan](https://x.com/dilan), co-founders of [Diana (W24)](https://x.com/getdiana).\n\nEvery OpenClaw today is an intern with root access and no oversight. ☠️🏴‍☠️\n\n**So we built the first one that has a boss.** 🦞\n\nDiana is a business-ready OpenClaw with a Governor monitoring every action - that can shut it down mid-task, before damage is done. \n\n\n\n**TL;DR:**\n\n**🛡** Diana is a business-ready OpenClaw with a Governor monitoring every action\n\n**⚡** Connect 3,000+ tools via API, or log into any app via Browser Logins\n\n**🔒** Per-user credential isolation. Every employee gets their own sandboxed agent\n\n**🏗** Built by engineers from Google, Gusto, MIT, CMU, and Yale\n\n## **The Governor**\n\nHere's the thing about OpenClaw: it talks directly to your tools. Slack, Notion, your APIs. No filter. No oversight. If it hallucinates or gets prompt-injected, it acts on your systems before anyone can stop it.\n\n**Diana never talks to Slack, Notion, or your APIs directly.**\n\nEvery action routes through the Governor first. It checks intent, filters output, and watches for drift in real-time. If something is off, the Governor kills the action before it reaches your systems. Not after. Before.\n\nThe architecture:\n\n→ Slack ingress hits the Governor (trust boundary)\n\n→ Governor routes to isolated agent sandboxes\n\n→ Agent has zero DB access, zero secrets\n\n→ Every LLM and tool call goes back through the Governor\n\n→ Governor filters output before it reaches Slack\n\n## **3,000+ Integrations + Browser Logins**\n\nDiana connects to Slack, Google Workspace, HubSpot, Stripe, Notion, Linear, GitHub, and thousands more via API.\n\n**And if there is no API? Diana logs in with a browser, just like you would.**\n\nHRIS portals, benefits platforms, 401k providers, state registration websites. If you can click it, Diana can work it. All through the Governor.\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/e04c3454-71cc-4c21-a942-3ba81aa51cd3)\n\n## **Give Your Employee Their Own Employee**\n\nDon't replace your team. Give them superpowers.\n\nDiana is simple to install and use: Install to Slack → connect your tools → **just ask**:\n\n**_→_** _\"Show me our Hubspot pipeline by stage and expected close date\"_\n\n**_→_** _\"Build me a revenue dashboard in Google Sheets for our March Investor Update. Send me a revenue dashboard every month.\"_\n\n**_→_** _\"Review these 5 invoices against the tracking spreadsheet let me know if there are any discrepancies\"_\n\n**_→_** _\"Every Monday at 9am, send me a summary of the #general Slack channel from last week\"_\n\n**_→_** _\"Onboard Sarah Chen as Senior PM into HRIS Payroll. Here’s the offer letter.\"_\n\n**Diana works across finance, operations, sales, product, engineering, marketing, and HR. Built for every employee on earth. Hire humans, and help them to 10x.**\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/48d04c0d-9f5e-4983-80a5-d3a5382d8eb3)\n\n## **The Backstory**\n\nBefore Diana, we built DianaHR, a fractional HR service for SMBs. Running that business, we saw firsthand how much time operations teams waste on repetitive tasks: onboarding new hires into HRIS systems, chasing unsigned documents, answering the same benefits questions, filing state registrations.\n\nWhen OpenClaw exploded, we saw the opportunity: an AI agent that could actually do this work. But the security gaps were a dealbreaker for business use. So we built a Governor on top, added per-user credential isolation, and created Browser Logins so Diana could work with tools that don't have APIs.\n\nBacked by Y Combinator (W24), General Catalyst, and SNR Ventures. Built by a team from Google, Gusto, MIT, Carnegie Mellon, and Amazon.\n\n**And this is just the start. Our goal is an AI employee so trusted you can hand it an entire business function and let it run.**\n\n## **Our Asks**\n\n**Try Diana for free.** If you want an OpenClaw agent AND peace of mind: [**getdiana.com**](http://getdiana.com)\n\nFor YC founders we are giving one month free of our assistant tier. Ping me on Bookface or email for a code!\n\n**Feedback.** If you try Diana and something breaks or feels off, tell us. DM me on Slack, email [upeka@getdiana.com](mailto:upeka@getdiana.com), or find me on X at @upekabee\n\nLet's go. 💚\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/8868ea14-86aa-45c3-916e-6a194d45de54)\n\n", "url": "https://www.ycombinator.com/launches/PwZ-diana-give-your-employee-an-employee", "votes": 5, "created_at": "2026-04-14T16:01:32.173Z" }, { "id": 77951, "title": "✅ DianaHR - Give us your people ops and take back your time", "tagline": "Put your company's people ops on autopilot and save 10+ hours a week", "body": "Hey everyone! We are [Tim](https://www.linkedin.com/in/tim-kral-512b5b3/) and [Upeka](https://linkedin.com/in/upeka) and today we are launching [DianaHR.](https://getdianahr.com/) We offer businesses an expert HR and Operations team to **manage tedious people ops tasks.**\n\n**Tl;dr**\n\nWe are building a better way to support business owners with back-office tasks like compliance, HR, state registrations, employee onboarding/offboarding, and payroll and benefits administration. We add a human expert to your team, who'll run everything using your own software tools. Prices start at $99/month.\n\n**❌ The Problem** \n\nOnce you hire your \\~5th employee, you find yourself spending hours each week dealing with people ops - managing all the software yourself, spending hours on the phone with customer support, and pulling your hair trying to deal with those state registration letters. You signed up for a PEO hoping things will get better, but you don’t have any control and spend more hours dealing with their central hotline. \n\nAll you want is to focus on your business. And all this stuff gives you anxiety and you worry that you are doing something wrong. Just to make things worse, New York State has sent you a letter with a $10,000 fine.\n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/d50c0995-aa60-4326-8160-f7426de967ad)\n\n**✨ Our Solution**\n\nMeet DianaHR. We offer you a fractional HR and Ops team that has seen it all. They will do what’s needed to keep you compliant, take busy work off your plate, and help you and your team focus on what matters - your business. Prices start at $99/month and are tailored based on your company's needs. Behind the scenes, we have a series of AI assistants to help scale our DianaHR experts. \n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/026703cd-3aaa-439f-ac9f-e22d0ab601db)\n\n\\\n**🧑🏻‍🍳 Who We Are**\n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/d91c3663-d7dd-4180-9ccc-2d902728af27)\n\nWe are Tim and Upeka. \n\nWe met at Carnegie Mellon 17 years ago. This is the third time we have worked together. \n\nBefore DianaHR, Upeka was at Gusto where she was the Head of Engineering for their HR platform. Her teams built the feature set that put Gusto on the map as an HR provider beyond payroll and benefits. Before that, she worked at Salesforce and other startups. \n\nTim was the VP of Engineering at Relay Payments, a FinTech startup. Before that, he worked as an engineer at Salesforce, Medium, and other startups. \n\n**🙌 Our Asks**\n\n* Share this with anyone you know who does compliance and HR back-office tasks and needs help! Book time [here](https://calendly.com/upeka/30min) to discuss. \n* You can follow us on [LinkedIn](https://www.linkedin.com/company/dianahr).\n\nEmail us to [founders@dianahr.ai](mailto:founders@dianahr.ai), for any questions.", "url": "https://www.ycombinator.com/launches/KHH-dianahr-give-us-your-people-ops-and-take-back-your-time", "votes": 52, "created_at": "2024-01-30T02:40:38.048Z" } ] }, { "id": 29608, "name": "Pre", "slug": "pre", "former_names": [ "Genie Online, Inc.", "Genie", "Rides" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98cb4af6e9ab45b4431ca1d8d69632b83194f214.png", "website": "https://buildwithpre.com", "all_locations": "Lake Oswego, OR, USA; Remote", "long_description": "Pre is an AI-powered execution system for startup founders who are serious about building real companies.\r\nSet a 10-week goal, connect your tools, and get pushed to do your highest-impact work every week.\r\nPre doesn’t track effort… it tracks outcomes, and it holds you to a higher standard.", "one_liner": "The AI accountability agent for startup founders", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1722007649, "tags": [ "SaaS", "B2B", "Investing", "Feedback", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Inactive", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pre", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/pre.json", "year_founded": 2024, "city": "Lake Oswego", "country": "US", "linkedin_url": "https://www.linkedin.com/company/buildwithpre", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/98cb4af6e9ab45b4431ca1d8d69632b83194f214.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/079e363410b2854116325aa7ee50d9d77260ae36.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 32175, "full_name": "Darius \"Bubs\" Monsef", "title": "Founder", "founder_bio": "Full-stack operator: bubs.co\nPast: Founder/CEO BraveCare.com (S19), CreativeMarket.com (W10) & COLOURlovers.com", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/dariusmonsef", "x_url": "https://twitter.com/bubs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be84bc992d318115861ecca0d7b7bee6b4e7810f.jpg" }, { "user_id": 40436, "full_name": "Asa Miller", "title": "Founder", "founder_bio": "2× YC founder of a kid-safe AI companion and a pediatric care company. I’m also an engineer of polished 0→1 products; leader of teams shipping stellar work; and a dad who believes tech should be trusted and loved by families.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/asamiller/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47800f8b2f347474dba748212812091156a3c3dc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82522, "title": "Genie — The best AI sidekick for kids", "tagline": "A conversational AI companion that can create generative art, play games, write stories and talk with kids in a safe & age-appropriate way.", "body": "Hi, we’re Darius and Asa. We're friends, dads, go-karting rivals, and the cofounders of [Genie](https://www.Genie.gg) — the best AI sidekick for kids. Genie is a conversational AI that encourages creative play and guides kids through the Genieverse, the future of games, media, and social for kids.\n\n**Download our app at:** [**http://genie.gg/app**](http://genie.gg/app)\\\nVisit us at: [www.Genie.gg](http://www.Genie.gg)\n\n**The Genie Team**\n\n[Asa](https://www.linkedin.com/in/asamiller/) and [Darius](http://linkedin.com/in/dariusmonsef) previously cofounded [BraveCare.com](http://BraveCare.com) (YC S19), which raised $40M in funding and enabled more than 50k urgent care visits for kids who were sick or injured— during the pandemic and the recovery years— all while delivering a care experience that maintained a nearly 5-Star score across thousands of reviews.\n\nDarius’ first time through YC was in W10 with [CreativeMarket.com,](http://CreativeMarket.com) which led to an acquisition by Autodesk in ’14. He also cofounded Sightbox, a DTC contact lens service that was acquired by Johnson & Johnson in ’17.\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/b55dcc84-b2d8-4620-a77f-620f8f66d3ff)\n\n**Our vision for a better internet for kids**\n\nAs a father, I want to protect my kids at all times and everywhere they go in the world, and in reality, I can’t. But I can build an AI that keeps them safe everywhere they go online and create a “digital Disneyland” for them to play, explore, and connect in.\n\nLike Jarvis to Ironman, Sox to Buzz Lightyear, or Baymax to Hiro, a child is the hero of their own story, and we’re building them the ultimate sidekick. An AI buddy that has their back in the online world, encourages creative play and helps them learn about anything, at any time, in an age-appropriate way.\n\nSoon, hundreds of millions of kids across the globe will connect on the next platform that’s foundationally powered by AI. We’ve seen it coming for a while, and we’re already building that new space… the Genieverse!\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/366ff304-4c16-476d-b7ae-cb271a5249c9)\n\n**Do something fun with Genie today**\n\n**Create**\\\nGenie is an always-kind, supportive & friendly AI agent that can co-create free-form generative art with kids, and they can create thru other art modes like the “Crazy Food Lab” or “Muppet Monsters.”\n\n**Play**\\\nGenie can also build incredibly imaginative story worlds where kids decide what happens next or play logic puzzles or word games designed to spark kids’ creative and critical thinking. Genie also knows that kids should have time off of their screens and be active out in the world. When there is available screen time, we built Genie to be engaging and creative.\n\n**Learn**\\\nThe internet is an incredible wealth of knowledge and information, but browsers are binary about whether a kid has access to everything… or nothing. Genie is a safe resource for kids who are curious about the world around them. Sometimes a trusted adult isn’t available to ask, or kids feel weird about asking, so Genie makes sure that tricky questions are answered in kind and age-appropriate ways.\n\n**Find “**[**Genie.gg**](http://Genie.gg)**” on the App Store** or click here: [**http://genie.gg/app**](http://genie.gg/app)", "url": "https://www.ycombinator.com/launches/LT0-genie-the-best-ai-sidekick-for-kids", "votes": 34, "created_at": "2024-07-29T16:57:48.187Z" } ] }, { "id": 29639, "name": "Callback", "slug": "callback", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95750da7b7330678c36367adeb82ef6c7a2f5049.png", "website": "https://getcallback.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Leading enterprises use Callback to manage complicated, real-world workflows. We integrate with your systems, not the other way around. Our platform serves as an auditable and permissioned system of record for your operations.", "one_liner": "Effortless AI automation for business operations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1723590693, "tags": [ "AIOps", "B2B", "Automation", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/callback", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/callback.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/callback-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/95750da7b7330678c36367adeb82ef6c7a2f5049.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 45302, "full_name": "Alan Xie", "title": "Founder/CEO", "founder_bio": "Alan is the co-founder and CEO of Callback. He was previously a product manager at Microsoft and AWS and the co-founder of an entertainment analytics startup. He studied CS at Harvard and Columbia and has an MBA from Harvard Business School.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alanrxie", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/898cddcce840c9dcdfe73a6872cd97831e96679d.jpg" }, { "user_id": 503383, "full_name": "Paulo Bautista", "title": "Founder (COO)", "founder_bio": "Paulo is the co-founder & COO of Callback. He previously managed thousands of delivery drivers and call center agents in the Philippines holding roles like Director of Operations and Head of BizOps. Paulo holds an MBA from Harvard Business School. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/paulobautista", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5caaccc169115a1b0b65223e769c202cebb62d87.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83765, "title": "Callback - AI business process outsourcing", "tagline": "A faster and more accurate AI-native BPO.", "body": "**TLDR**: [**Callback**](https://getcallback.ai) **is the first AI-native BPO built using a modern tech stack.**\n\nOur software platform helps our customers stay focused on their core business by automating their ops processes with humans in the loop. We’ve handled tasks such as image labeling, invoice extraction, and PDF report parsing — with greater accuracy and speed than traditional BPOs or off-the-shelf software solutions. \n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeL3DPnORZSaPrv35S-22CdX2ZrxP9_EvxYzclxFTf4dxbob11k6g3VvRBAZcRLO3nXcu_LDpZmaZ_kKdYx00-KBKrk8uzJ5GqjASkFm05A_BDtSjGfDWMqZ16w2IP469vR0CfuGP2RHou2QoZ6rHAqPv0?key=rS2cFpGt_BWtrYrVA_wlvw)\n\n[Alan Xie](https://www.linkedin.com/in/alanrxie/) was a senior product manager at AWS and Microsoft, where he built enterprise productivity software used by hundreds of millions of people. He holds computer science degrees from Harvard and Columbia, as well as an MBA from Harvard Business School.\n\n[Paulo Bautista](https://www.linkedin.com/in/paulobautista/) was the first employee and Head of Business Operations at Ninja Van in the Philippines, where he managed a team of several hundred delivery couriers and grew the business to 8 figures in annual revenue. Before YC, he ran an 800-person call center as the Director of Operations and Strategy for a late-stage restaurant tech startup. Paulo studied Business Economics at the University of the Philippines and holds an MBA from Harvard Business School.\n\n**Why are we building Callback?** \n\nAs companies grow, they naturally accumulate process overhead involving manual, repetitive operations tasks. Outsourcing these processes to BPOs requires months of coordination, training, and QA — friction that only the largest multinational corporations can tolerate. \n\nWe empower **companies of all sizes** to offload their manual processes onto our platform. Callback is a software layer for business operations that makes your processes more **transparent**, **efficient**, and **cost-effective**. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXerz8QHBBJ7s8VeO6FMk5ZD43yxGNXTCfbO727NYabKPet-cckWwJEbP9eKkHDAdv-JUu1mnzYrC-gxCNxYgZCUp4jt4AOILGazXQLoCIG3SsbL5JMT73ZuzGViPAJyknEVRvM-UeYNTHAvwBnXavIU_igy?key=rS2cFpGt_BWtrYrVA_wlvw)\n\nOnboarding onto our platform is straightforward:\n\n1. Customers define a specific process workflow as a **Blueprint**\n2. They execute **Jobs** based on their Blueprints\n3. Jobs rely on pre-defined **automation** as well as **human QA**\n\nDo you have any ops processes you wish you could delegate? Unstructured data that you need to turn into a specific structured format? Email us at [founders@getcallback.ai](mailto:founders@getcallback.ai) or book time with us [here](https://calendly.com/paulo-getcallback/can-you-do-this-for-me).", "url": "https://www.ycombinator.com/launches/Ln3-callback-ai-business-process-outsourcing", "votes": 96, "created_at": "2024-09-04T21:33:17.602Z" } ] }, { "id": 29655, "name": "Decisional AI", "slug": "decisional-ai", "former_names": [ "Decisional AI, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41aabc8daca51e7697f6edfa19e6601f54841485.png", "website": "https://www.decisional.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Decisional is the fastest way to build self healing automation agents that work with the apps you use.\r\nYou just ask for an agent in natural language, it builds and tests its own workflow that it runs constantly in the background.\r\n", "one_liner": "AI Coworkers for Business Automation", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1723533013, "tags": [ "B2B", "Workflow Automation", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/decisional-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/decisional-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/decisional-ai/", "x_url": "https://twitter.com/getdecisional", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41aabc8daca51e7697f6edfa19e6601f54841485.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/29713/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022720Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIQDeV7cQCYWa%2ByyakJaw7aH8e0HNWEyd2tO1Fn9KHjIpkgIgJPUveNomWrSf4Oq5DPuVDY7LKeaNJPvi5F2sbSx87Hoq5QMIOhAAGgwwMDYyMDE4MTEwNzIiDJ7%2FkqUU8p5mIeDC5CrCA7F4UggTYlVYiff4mYkoYiIpXa9r%2FKkUhcKwMNwtYpcuNTEBtH5xi9Hzkl3B%2FOYmUn%2FIacrdemsB9KrtOuRo%2FccaY%2Bs%2FSuIzime%2BcYuI7%2B%2Fg2nldjcm7YPCf32sIR8EflXc2916%2FDRMbztsRKDiQDL1ZKbK6YPHJppiQyVyRrrcCFD0X7tEf0D7QgK2DIpKnu8zGLzN4oAHn6xfHIgQnynrupcJbc9cga5AURtsRl7TfSM6XaGTtp1fNogyhUKX9f%2FYIL2pg03nlhLpRpDuqHpJ9qbbVsf%2FvboDHQ4IRRkiCaWH6GZwuTm%2FaXzTPIrAlVKH5%2F0RNaaExh%2Byw4VhHEEsSkHSs4mw%2BmNAKnW2FnWuldPRw5kn3j05dqhv5fkQxdp74JTYQe5wex1YN5PCok147bSKEuieYlIgH%2FiP9NY3Ym0ZRUWuo0zL40XWv9X3L1tLg%2BYWY0fCdhDKHGgTuesmbVajzEhu%2Bg9iWLptoK63cZ4UfO8oOd6sOc09XF6lBy%2BmD%2BSVmOfDWUOzz5ELD16slDTUwml0MZsttBoLDzldUc0olkl5nCAl23UqraiUXeaeW3yLOvJn%2BAD%2B%2FM6PvmZF0VzDn%2FdrWBjqlAVRsuTd0UsfPEqyKlBgBcSJTbWkHvSj10wzTCIqvOoZ3bz1TWza43iHLTCs7u%2FHmvoKE0qG5FTOsMYhLZb5XFdRretuo%2F1BjdoZt%2Fr0dHWGT4LLkmfYrkFclUq7u0pvMr6%2FR4I41ZYdCD3cWpGAcOrCQxKJukkkU%2Fx4O0IOnvZKvXzK4OISHe4XPgWQrnAJcSBOFX%2BXRwhpFbVXOOC%2BtEw%2BR3JTElw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=8bee015f9d2e527ec670b20013bd1c3991f8cec77c2d9a5f79e0bfbf76009546", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1762746, "full_name": "Dhruv Tandon", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder @ Decisional AI. LBS and BITS Pilani grad. \n\nBuilding the easiest way to build and manage AI Agents for workflow automation.\n\nPreviously, Product at Razorpay (W15), Drip Capital (S15) and an Analyst at Moonfire Ventures & Concentric Capital.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tandondhruv/", "x_url": "https://x.com/groovetandon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b7225c147d20cd129e85562bdc12789d6042f40.jpg" }, { "user_id": 990193, "full_name": "Sai Neeraj Kanuri", "title": "Founder", "founder_bio": "Co-founder & Head of Engineering at Decisional AI. NYU grad. Laying the groundwork for an AI Agent that can reliably work for Finance. Previously, engineering at Razorpay (YC W15) and Arthur AI, an ML platform that helps financial services firms like J.P Morgan reduce hallucinations. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neerajkanuri", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a334a3fac6c1c5e1320ff9a2bb72c2b328e041a6.jpg" }, { "user_id": 1901094, "full_name": "Adit Sanghvi", "title": "Founder/CTO", "founder_bio": "CTO & Co-founder at Decisional AI, building the brain of an AI Agent for Finance. CMU Grad. Previously, worked in deep learning and machine learning at Uber and generated incremental $100m+ in revenue. Hold patents and papers on AI since 2017, before it was cool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aditsanghvi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb437ab8f99c02ff396d06a43f72bbf293e6faaf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92541, "title": "Decisional Knowledge Engines", "tagline": "AI Native workspace for Financial Professionals", "body": "Hey folks, we’re Dhruv, Adit & Neeraj, the founders of [decisional.com](https://www.decisional.com/) and we are introducing the world to Knowledge Engines.\n\n### Decisional Knowledge Engines\n\n**A new way for financial professionals doing in-depth work to collaborate with AI agents.**\n\n**TLDR**\n\nKnowledge engines are AI native workspaces built for financial professionals in private markets to accelerate **due diligence**, **fundamental research**, and **portfolio management** in a secure sandbox environment with **full citations and audit trails**.\n\nPreview video here - https://www.youtube.com/watch?v=RU9Xm8VWNd0\n\nTHE PROBLEM\n\nFinancial professionals spend hours doing grunt work that includes copy pasting tables, screenshotting charts and doing data entry and have been unable to use AI effectively due to a lack of precision and transparency in using LLMs in their workflows.\n\nThe Decisional knowledge engine allows you to **add** and **view** sources to so that you can\n\n1. **Write** your own thoughts into Memos\n2. **Ask** **AI** questions related to the sources you upload\n3. **Generate / Edit** high quality tables, charts and metrics based on the underlying materials with your AI Assistant Dex\n\nDecisional features a powerful **document processing** system that handles multiple formats (excel, pdf, ppt, docx) with OCR for tables, charts, and figures. Our agentic **RAG** implementation grounds AI responses in your sources, delivering up to **4.1x** greater accuracy with fewer hallucinations and the most transparent citations. Choose from top models by Anthropic, xAI, OpenAI, and Meta.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/22dec013-48a4-4503-9fff-973b36880183)\n\n_(Chart produced with Decisional)_\n\nTop three reasons to use Decisional Knowledge Engines\n\n### **1.You start from SCRATCH**\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/b37b878a-8843-496a-b84c-9c52b4e996e0)\n\nDon’t become a consensus thinker, use AI only when you need it - to do the grunt work not the real decision making. Upload sources you trust and view it on the left, iterate on your workup in the middle and ask AI for assistance on the right, ONLY when you need it.\n\n### **2.Deep Research** & **Agentic Editing** with Finance Grade **Tables**, **Charts** and **Writing**\n\nWe’ve tuned Dex to be thoughtful, analytical and rigorous like any financial professional worth their salt. It spends time thinking before writing to improve depth and understanding. Get Dex to refine outputs, answer follow-ups, and iterate on your materials. Write inline when you need to onto a collaborative editor with Dex. It can even do financial modeling and scenario analysis.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/724dfdbc-ff09-44d0-b8c4-055a08d4d39f)\n\n### **3.Full transparency**\n\nEvery insight links back to original sources with complete audit trails. Imagine an analyst that can read hundreds of thousands of files in seconds but tells you the exact page with a bounding box around where it got a figure from. Inline citations ensure you don’t have to second guess whether the data is accurate, see for yourself without yielding all your time savings to fact check AI.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/8f459550-8129-44ef-8f88-067c0d06ac11)\n\nAll this with enterprise grade APIs to embed AI agents within your workflow and deployments that work with your data security policies.\n\n### **Try Decisional free for a week with no credit card**\n\nThere are multiple AI Agents for finance but none offer the level of transparency and control that we do.\n\nNo smoke and mirrors, just results you can trust.\\\nChoose from one of our public samples where we have pre loaded documents for you:\n\n* [AI Infrastructure Build Out](https://app.decisional.com/public/memo/9fc52894-91e4-4531-b776-913929e058a9?promptId=prmt_ainfrabuildout)\n* [US Gambling Restrictions](https://app.decisional.com/public/memo/7154d423-6626-4099-88fb-eb1ffb3c327d?promptId=prmt_usgamblingmemo)\n* [Tesla SEC Filings (10 years)](https://app.decisional.com/public/memo/eb1a312c-1b55-4738-acb9-2ade5880eee9?promptId=prmt_tslasec10years)\n* [Coffee Retailer Data Room](https://app.decisional.com/public/memo/b1fa6424-9790-4194-93e5-eebcc9f8d9ab?promptId=prmt_pvtequityjoeco)\n\nOR login and upload your own documents here - https://app.decisional.com/sign-in\n\nReach out to us at [founders@decisional.com](mailto:founders@decisional.com) if you want to use our [APIs](https://docs.getdecisional.ai/welcome/introduction) to embed our workspace in your product or workflow.", "url": "https://www.ycombinator.com/launches/O4b-decisional-knowledge-engines", "votes": 10, "created_at": "2025-07-29T16:16:45.742Z" }, { "id": 83138, "title": "Decisional - An AI agent for Financial Analysts", "tagline": "AI Financial Analyst to help investors focus on what matters.", "body": "Hey everyone, we’re Dhruv, Adit, and Neeraj — co-founders of [Decisional](https://www.getdecisional.ai/).\n\n### **tl;dr**\n\nDecisional built an AI Financial Analyst that reads and understands data from thousands of public and private sources. Imagine a new world - an AI Analyst, at your beck and call, that has understood every email, read every data room, and can browse the web. \\\n\\\nDecisional breaks down data silos and performs all of your grunt work, ensuring you never have to manually copy a table from a pdf to Excel ever again.\n\n### **The Problem: Grunt Work & Data Silos**\n\nAnalysts want to create alpha through first principles thinking - but they’re blocked by mundane tasks like extracting tables, plotting market maps, and sifting through transcripts and board packs. Their information is scattered in data silos internally (Airtable, Dropbox, Email) and externally (web pages, SEC filings, and private data feeds like S&P).\n\nDecisional ingests information across your organisation and configured external sources to create a knowledge graph that powers a 24x7, intelligent AI Agent empowered with your organization’s information. It helps you unearth key facts and patterns hidden in plain sight.\n\n### **The Solution: Writing > Chatting for Deep Work**\n\nDecisional’s Magic Tables will organize key metrics, competition, and public comps, enriched with external data like funding amounts, stage, geography, and sector.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/b32cb74b-83a4-4da8-87fc-3a246c5cf797)\n\n\\\nAnalysts generate “AI memos” and glean deep insights from your documents. Decisional eliminates the 24-48 hour wait while your offshore team performs simple data extraction grunt work.\n\nDeep, living documents are then drafted with the help of an AI Agent that automatically pulls and organizes data from underlying sources, complete with citations.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/784ed30e-d5e2-4e6e-84ca-dfce79a724ae)\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/f7531425-4503-4c11-b5ed-f24e6bd9328e)\n\n### **The Finance + AI + Distributed Systems Squad**\n\nDhruv, Adit, and Neeraj studied at London Business School, Carnegie Mellon University, and NYU, respectively. Adit and Dhruv have known each other for 20 years and are childhood friends. Dhruv and Neeraj shared a PM - Lead Engineer bromance from their time working at Razorpay (W15).\n\n[Dhruv](https://www.linkedin.com/in/tandondhruv/) - Experienced in investing, lending, and banking through working at Moonfire Ventures, Concentric Capital, Drip Capital (S15), and ICICI Bank. Rage quit a bank to join the startup world.\n\n[Adit](https://www.linkedin.com/in/aditsanghvi/) - Developed machine learning models at AWS and Uber, and built models for billions of transactions that generated over $200+ million in additional revenue. Published research and patents in machine learning since 2017.\n\n[Neeraj](https://www.linkedin.com/in/neerajkanuri) - Developed end-to-end financial infrastructure that handles over $150B in transaction volume at Razorpay (W15). Won a contest in Yann LeCun’s Deep Learning course and then built distributed systems at Arthur AI for financial services firms like JP Morgan.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/20a310e0-32b6-4d5d-a483-0c7c3f733ea6)\n\nWatch our full product video here:\n\n", "url": "https://www.ycombinator.com/launches/Lcw-decisional-an-ai-agent-for-financial-analysts", "votes": 298, "created_at": "2024-08-16T21:16:34.697Z" } ] }, { "id": 29704, "name": "Modus", "slug": "modus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8658330ee98ad5bd743668f353f13f0f8106bd38.png", "website": "https://himodus.com", "all_locations": "Austin, TX, USA; Remote", "long_description": "Modus helps companies hire and retain only the people they need instead of becoming bloated messes. Modus connects your HRIS, ATS, and analyzes extensive data across your organization so leaders can detect, inspect, and correct their workforce plans - without relying on spreadsheets or complex systems. \r\n \r\nLin experienced these challenges firsthand as a VP BizOps at HashiCorp, scaling from 100 employees to IPO, while Chris and Amar faced similar issues scaling 40+ person teams as a fractional CTO. They’re motivated by the belief that companies should have the least number of employees possible. ", "one_liner": "Unlock revenue per employee with AI-powered headcount management", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1723584667, "tags": [ "Finance", "B2B", "HR Tech", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our ‘level 5’ vision is to automate workforce management at scale and to build efficient companies with the least number of employees possible." } ], "url": "https://www.ycombinator.com/companies/modus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/modus.json", "year_founded": 2024, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/himodus/", "x_url": "https://x.com/HiModus", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8658330ee98ad5bd743668f353f13f0f8106bd38.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1899616, "full_name": "Lin Ling", "title": "Founder/CEO", "founder_bio": "Lin is Co-founder and CEO of Modus. Before Modus, she was a VP BizOps at HashiCorp and helped scale from 100 to 2500 employees to IPO (rang the bell in NY). \n\nPrior to that, she implemented ERP systems at five Fortune 500 companies as a Deloitte Consultant. The clunky nature of these tools led her to appreciate the flexibility of spreadsheets but also the craft in modern software. \n\nLin received her Bachelor's in Econ, Comp Sci, and Math at NYU Stern. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/linling1", "x_url": "https://twitter.com/linnyisms", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4339b606c67dcd01176017e64c9bad3a0ae70a3f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83088, "title": "Modus: Headcount management to save costs as you scale", "tagline": "We help companies hire and retain only the people they need without the unnecessary bloat.", "body": "[Modus](https://www.himodus.com) is headcount management that helps companies never over-hire as they scale. Modus brings Finance, HR, and Hiring Managers to detect, inspect, and correct their workforce plan in one unified workflow.\n\nToday, much time is wasted reconciling headcount across departments and exporting across disparate systems. Incomplete and outdated data adds to the pain. Companies overhire, then fire. Cycle perpetuates. Bloat and inefficiencies persist.\n\n[Lin](https://www.linkedin.com/in/linling1/) experienced these pains directly as VP of BizOps at HashiCorp, scaling from 100 to 2500 through IPO. Modus was founded on the belief that companies should have the fewest employees possible.\n\n# \n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/a1595755-bf0e-4166-a296-2badb2dcff54)\n\n# 🤯 **The Problem: Headcount planning and reporting remains manual and painful**\n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/0dd981e5-f59d-40ec-8ee8-53782bb12622)\n\nOverhiring in tech has led to over 200,000 layoffs, costing companies billions. Workforce costs account for 70-80% of a company’s expenses, yet companies still make workforce decisions in error-prone, manual spreadsheets with incomplete data. Re-orgs, department changes add to the pain. Reconciliation is messy and time-consuming. Accuracy suffers. The cycle perpetuates. As Taylor Swift might say, _“I’ve seen this film before, and I didn’t like the ending.”_\n\n# 🪄 **Our Solution: AI-powered headcount management**\n\nModus integrates with your existing HRIS and ATS systems, using AI to help you detect anomalies, inspect, and correct your workforce plan.\n\nWith Modus:\n\n❌ Overhiring\\\n❌ Layoffs\\\n❌ Incomplete data \\\n❌ Useless meetings \\\n✅ Hire and retain only the people you need\\\n**✅** Increase visibility\\\n**✅** Collaborate off a single source of truth\\\n**✅** Save costs as you scale\n\nThe more Modus learns, the more it streamlines and automates your headcount management processes at scale.\n\n# 🙋🏻‍♀️**The Ask**\n\n**Share this post!**\n\nKnow anyone in your network managing headcount, bogged down by spreadsheets? A VP in Finance, HR, or Operations? Please share this post (or the blurb below).\n\n* _Modus is headcount management to save costs as you scale. With the help of AI, our software analyzes extensive data across your organization, helping you remove the bloat and correct your workforce plan – all in one unified workflow. Founders are Lin (ex-HashiCorp), Amar (ex-Finfare), and Chris (ex-OpenGov, 2x founder) with combined experience scaling companies from 0 to 1, to $8B+, and through IPO. Contact _[_lin@himodus.com_](mailto:lin@himodus.com)_ for a demo and trial._\n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/63aaef2e-9c70-4e4e-a022-617e76385024)\n\n", "url": "https://www.ycombinator.com/launches/Lc8-modus-headcount-management-to-save-costs-as-you-scale", "votes": 60, "created_at": "2024-08-15T16:36:11.526Z" } ] }, { "id": 29770, "name": "Intryc", "slug": "intryc", "former_names": [ "Sentify" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7ba643e872dfb236016ba560ace56c12e3baf83.png", "website": "https://intryc.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Enterprises have millions of customer interactions every year but are only able to monitor less than 2-5% of those. The rest 95% is unmonitored risk across compliance, customer experience, product defects, and agent performance. With AI agents widely deployed across customer support organisations this problem increases exponentially. Every company needs a unified layer that allows them to monitor and govern all customer interactions with customer support teams, humans and AI. Intryc is building this layer. ", "one_liner": "Intryc is the unified quality assurance, governance, and training…", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1721158274, "tags": [ "Customer Success", "Analytics", "Customer Support", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/intryc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/intryc.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/intryc/", "x_url": "https://x.com/intryc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7ba643e872dfb236016ba560ace56c12e3baf83.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/082f6bf91f92e7a22be814a212f09aa1c9f6889e.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1341483, "full_name": "Alex Marantelos", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Intryc. Previously led Customer Success in Northern Europe for Confluent, overseeing $40M+ in ARR across strategic customers. Worked closely with Confluent's executive team to define everything that touches landing, onboarding, expanding, and renewing customers. Before that, first Enterprise Customer Success Manager in EMEA for Navan (fka TripActions) establishing the EMEA first team and presence.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ioannis-alexandros-marantelos", "x_url": "https://x.com/alexmarantelos?lang=en", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c3a58808cfffd666793023b4f34a5b42ca09ff0.jpg" }, { "user_id": 1584551, "full_name": "George Pastakas", "title": "Founder/CPO", "founder_bio": "Co-founder and CPO of Intryc. Previously, #1 employee at Pledge (data science and engineering), led fraud detection at Revolut (ML models, algorithms and operations).", "is_active": true, "linkedin_url": "https://linkedin.com/in/georgepastakas", "x_url": "https://twitter.com/georgepastakas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0a5b89af1ad0fc890f9e598de5194e4ad9f1c1c.jpg" } ], "jobs": [ { "id": 66893, "title": "Fullstack Software Engineer", "url": "https://www.ycombinator.com/companies/intryc/jobs/Lr6k3V0-fullstack-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $180K", "equity_range": "0.20% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Django", "Flask", "Python", "React", "TypeScript", "Data Modeling" ] }, { "id": 71752, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/intryc/jobs/39DcEk8-machine-learning-engineer", "location": "San Francisco, CA, US / Remote (US; GB; GR)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.30% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Elasticsearch", "Deep Learning", "Chatbots" ] }, { "id": 73635, "title": "Senior Product Designer", "url": "https://www.ycombinator.com/companies/intryc/jobs/xrvcSVT-senior-product-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "0.20% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "Prototyping", "Branding", "Figma" ] }, { "id": 79518, "title": "Head of Marketing", "url": "https://www.ycombinator.com/companies/intryc/jobs/bxXF0vV-head-of-marketing", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $180K", "equity_range": "0.30% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Marketing design", "Figma" ] }, { "id": 89169, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/intryc/jobs/Dp2lPsH-customer-success-manager", "location": "US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93459, "title": "Senior Fullstack Software Engineer", "url": "https://www.ycombinator.com/companies/intryc/jobs/hJO8Wet-senior-fullstack-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "0.50% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Intryc raises $3.1M for customer service monitoring software - Tech.eu", "url": "https://tech.eu/2025/01/23/intryc-raises-3-1m-for-customer-service-monitoring-software/", "date": "Jan 23, 2025" } ], "launches": [ { "id": 94385, "title": "Intryc: AI Simulations and QA for CX Teams", "tagline": "All-in-one Quality Assurance and Training Platform for world-class CX Teams", "body": "Hi YC community!\n\nTeam Intryc (S24) here and excited to show you the second and most upgraded iteration of our product, already used by billion dollar companies like [Deel.com](http://Deel.com) and Blueground as well as hypergrowth startups like Fyxer AI and Factorial.\n\n| The Team |\n\nFor those who don’t know us yet, our team spent 8+ years in the CX space. We’ve solved support tickets, managed accounts, built cross-country/continent teams and created entire playbooks and processes of how world-class CX teams should interact and support customers across the globe in our previous employers at Revolut, Confluent, Navan, Meta, Amazon.\n\n| The Problem |\n\nCreating a culture of operational excellence, overachieving, and top performance is one of the toughest challenges every company and leadership team face.\n\nEspecially in CX, every customer interaction can make or break that customer trust and turn into a nightmare or opportunity. There’s two sides to this problem. Lack of visibility and time to action.\n\nWe solved the first half during our S24 batch when we released our AI QA tool for CX teams that allows companies to monitor up to 100% and the most important samples of their customer interactions. Moving onto the second half, CX and Learning & Development managers spend 15+ hours per week building performance improvement material, aligning resources, and ensuring agents, CSMs, and adjacent CS Ops teams are well trained and prepared. Through role plays, shadowing, piecing together training material, reiterating, and updating the relevant resources - all critical activities yet still remain highly manual, unscalable, and more often than not outdated and simplistic. 2 out of 3 customers churn after a single negative support interaction. Training and coaching is more often than not limited, reactive, time-consuming, and inconsistent.\n\n| The Solution |\n\nRealistic Simulations: Agents practise on challenging, real-life scenarios (based on past tickets) in a safe environment. Low stakes, high gains!\n\nAutomated Scoring: Every interaction is measured against your org’s policies & playbooks, with unlimited tries and clear graduation paths. No more guesswork, team members get instant and clear feedback.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/db13b953-549f-4336-95a6-c394e5de273b)\n\nTargeted Coaching: Managers instantly see who needs help and where, cutting wasted training time. Enough with one-size fits all, different people need help in different areas.\\\n\\\nAlways Improving: Both new joiners and seasoned agents keep up-to-date with new products or processes effortlessly.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/68f1a2c1-1c0f-4b44-833b-4c4533e2d3a6)\n\nContinuous monitoring and process improvement: All data points are collected in personalised dashboards and reports that create a virtuous cycle of improvement across the team while completely eliminating up to 80% of manual preparation work and continuous manual data gathering and reporting across the organisation. Systems over wishful thinking.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/3a7b12dc-7bf0-4904-9e84-ed0a38cd5517)\n\nThe first results on our early adopters show onboarding and training time reduced by up to 50%. Managers reclaim 12–15 hours per week.\n\nAgents have a lot more visibility on their performance progress, don’t have to guess any more and continuously improve like having a personal coach in their pocket.\n\nWe’re excited for as many of you as possible to give this a try and share your feedback!\n\nUpvote our launch here: [https://www.producthunt.com/products/intryc?launch=intryc](https://www.producthunt.com/products/intryc?launch=intryc%5C)\\\nThank you all for your support!", "url": "https://www.ycombinator.com/launches/OYL-intryc-ai-simulations-and-qa-for-cx-teams", "votes": 10, "created_at": "2025-10-07T20:23:56.000Z" }, { "id": 82343, "title": "Intryc - Use AI to automate Quality Assurance for Customer Support", "tagline": "Sample tickets, evaluate human and AI agents, and unlock customer insights across all your customer interactions", "body": "Hi everyone, we’re Alex, George, and Dimi!\n\nWe are ex-Meta, Amazon, Revolut, and Confluent engineering and GTM folk who have spent more than 7 years improving the customer experience in companies like Meta, Amazon, Revolut, Confluent, and Navan. We decided to build Intryc with the mission to centralize and automate the repetitive, error-prone, and manual tasks in the Support QA process to free up the time of CX teams so they can focus on what really matters to them - their customers and business goals.\n\n![uploaded image](/media/?type=post&id=82343&key=user_uploads/89898/63e0ef63-8615-4520-b36e-bcabccfdad58)\n\n**tl;dr**\n\n[Intryc](https://intryc.com/) uses AI to automate Quality Assurance for customer support. Customers like [Deel.com](http://deel.com) centralize and automate parts of their Quality Assurance on Intryc to ensure agent compliance, double QA productivity, reduce costs by 50%, and prevent negative customer interactions while collecting actionable product and customer insights.\n\n**The Problem**\n\nQuality assurance for customer support is vital in regulated sectors like banking and utilities. Millions of customer inquiries must be handled and evaluated consistently and accurately to avoid regulatory non-compliance and brand reputation damage. This process is typically run manually by internal teams that still rely on outdated systems or spreadsheets to review and evaluate customer interactions. Even the most efficient QA teams can evaluate less than 5% of total tickets, leaving millions of interactions unreviewed and risking regulatory compliance, reputation damage, and increased customer churn.\n\n![uploaded image](/media/?type=post&id=82343&key=user_uploads/1341483/44a793a2-2c70-4389-ab09-8970eaaf7e7a)\n\n**The Solution**\n\nIntryc’s AI-powered solution automates the manual, repetitive, and error-prone tasks of the QA process, integrates with knowledge bases and data sources, such as help desks and CRM systems, to streamline the entire process end-to-end and allows organisations to scale their Support QA, without the scaling costs!\n\n\n\n**What Intryc offers:**\n\n* **Automated Intelligent Sampling**\n * Automate your sampling and workload distribution to ensure an optimal ratio of QA specialists to sampled tickets, minimising idle QA time.\n * Create targeted customer ticket samples with AI based on sentiment, keywords, or other custom rules.\n* **Dynamic Workload Distribution**\n * Create hybrid or fully automated AI evaluation workloads to double your team’s productivity.\n* **Custom Scorecards and Unlimited Coverage**\n * Optimize your scorecards with customized criteria based on internal playbooks, knowledge bases, or evaluation repositories.\n * Score up to 100% of your tickets with AI without a single human involved, or try AI vs human A/B testing, and override AI evaluations when required.\n * Get AI-generated ticket and agent evaluation summaries.\n* **Tailored Agent Coaching**\n * Get AI-generated summaries of underperforming agents based on scorecard ratings and provide tailored coaching to each agent.\n* **Extensive reporting**\n * AI generated insights based on key topics, product areas, or customer service from your entire ticket base.\n * Real-time ticket evaluations and agent performance summaries for management.\n\n**👋 Ask: How you can help**\n\n* Support us on [here](https://www.linkedin.com/company/intryc/) on socials!\n* Connect us to COOs or Customer Support/Experience/Operational leaders in your network at [alex@intryc.com](mailto:alex@intryc.com).\n* Give us product feedback as a company leader who cares about their customers’ experience and supports the team’s performance. Book a 15-minute demo [here](https://www.calendly.com/alexmarantel).\n\n**💥 The Deal**\n\nInbound from the YC network will get a 50% discount. Email [alex@intryc.com](mailto:alex@intryc.com) to redeem the deal!", "url": "https://www.ycombinator.com/launches/LQ7-intryc-use-ai-to-automate-quality-assurance-for-customer-support", "votes": 45, "created_at": "2024-07-22T22:12:54.059Z" } ] }, { "id": 29785, "name": "Simple AI", "slug": "simple-ai", "former_names": [ "TBD" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc2c60d479b7ebde0f22e07c40db2956ad5ff6c.png", "website": "https://www.usesimple.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Simple AI is building AI voice that sells. Our voice agents know every detail about every product SKU. They’re trained on the best reps, so every call is handled at top-performer quality. Simple AI agents already outperform trained live reps by 30% on conversion and upsell.", "one_liner": "AI voice that sells", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1723575608, "tags": [ "Sales", "Call Center", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/simple-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/simple-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/simple-ai-lab/", "x_url": "https://x.com/simpleailab", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/simple-ai-9d81", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc2c60d479b7ebde0f22e07c40db2956ad5ff6c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a94fceaf082c5333ae921d07620fd86d0d203968.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 195464, "full_name": "Catheryn Li", "title": "Founder/CEO", "founder_bio": "Cat is co-founder and CEO of Simple AI. Previously, she spent 4 years at Y Combinator, where she led the software team responsible for Startup School, the YC Library, and YC's Co-Founder Matching site.\n\nShe has degrees in computer science and math from MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/catherynli/", "x_url": "https://twitter.com/catheryn_li", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/620064600550892ac244ba1920f0db800033bba0.jpg" }, { "user_id": 826075, "full_name": "Zach Kamran", "title": "Founder", "founder_bio": "Co-founder Simple AI. Previously working on Bookface at YC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zach-kamran/", "x_url": "https://twitter.com/zach_kamran", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c017132cea7a1fcd3a8537863dd8bbe32a505c2e.jpg" } ], "jobs": [ { "id": 74410, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/simple-ai/jobs/bYEgX5m-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $250K", "equity_range": "0.50% - 2.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "React", "Ruby on Rails" ] }, { "id": 80385, "title": "Forward Deployed Software Engineer", "url": "https://www.ycombinator.com/companies/simple-ai/jobs/tuP4mK7-forward-deployed-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $180K", "equity_range": "0.10% - 1.48%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python" ] } ], "news": [ { "title": "This AI Startup Is Taking Over Phone Sales", "url": "https://www.youtube.com/watch?v=6iilze3aDkU", "date": "Feb 18, 2026" }, { "title": "Simple AI Raises $14M For Voice AI Sales Agent ", "url": "https://www.upstartsmedia.com/p/simple-ai-voice-sales-agent-omaha-steaks", "date": "Feb 09, 2026" } ], "launches": [ { "id": 86078, "title": "Simple AI - AI phone assistant for consumers", "tagline": "Simple makes phone calls so you don't have to", "body": "**We’re thrilled to announce that starting today, Simple AI Phone Assistant is available on the** [**App Store**](https://www.usesimple.ai/join?inviteCode=launchyc).\\\n\\\nSimple AI can make AI powered phone calls on your behalf. Simple can wait on hold and navigate phone trees. Simple can make phone calls in 33 countries using 15 different languages, or even call 10 different stores at the same time.\n\n![uploaded image](/media/?type=post&id=86078&key=user_uploads/195464/3b0d8227-3cb8-443c-a8a4-fc0796c390c9)\n\nWe tested a beta version of the app extensively with our initial set of 1000 users. We wanted to make sure Simple could successfully perform a variety of tasks, including: making restaurant reservations; finding and booking doctors, dentist, and vision appointments; asking grocery stores, hardware stores, and other retail stores for availability or stock; calling customer support to ask for help with accounts, billing, and more.\\\n\\\nWe started Simple AI with the simple vision to bring the power of AI to regular people. We went through YC’s Summer 24 batch. During YC, we saw many startups working on ideas that leverage the new AI and LLM technology to upend various industries. But no one was working on AI for consumers.\n\nIt turns out people really hate making phone calls, and our AI is pretty good at it.\n\nIn fact, it’s _better_ than a human at certain tasks. Zach and Cat both needed a new eye doctor and independently set out to find one that would 1) take our new insurance, and 2) had availability soon. Zach did some research on the internet and got an appointment 3 weeks out. Cat had Simple call 15 optometrists near Potrero Hill and got hers in 6 days.\n\nWe give people access to an AI assistant at their fingertips. Read more about our launch on [our blog](https://usesimple.ai/blog/launch) or try it out today at [https://usesimple.ai/join](https://usesimple.ai/join?inviteCode=launchyc).\n\n### **Team**\n\n[Zach](https://www.linkedin.com/in/zach-kamran/) and [Catheryn](https://www.linkedin.com/in/catherynli/) met at YC, where they spent 4 years building consumer products like Bookface, Startup School, and YC’s co-founder matching site.\n\n![uploaded image](/media/?type=post&id=86078&key=user_uploads/195464/a59696cc-5d70-4c37-bdec-dafdba687f55)\n\n", "url": "https://www.ycombinator.com/launches/MOM-simple-ai-ai-phone-assistant-for-consumers", "votes": 17, "created_at": "2024-12-05T18:07:13.588Z" }, { "id": 83003, "title": "Simple AI - a better Siri", "tagline": "Simple AI is what Siri should be. We make it 10x easier for you to use your favorite consumer apps.", "body": "[Simple AI](https://www.usesimple.ai/) is what Siri should be. We make it 10x easier for you to use your favorite consumer apps: Amazon, Uber, Doordash, Venmo, Maps, etc. We can also help you do research and book anything from restaurants and flights to that local minigolf place that doesn’t have a website.\n\nThe consumer products we use every day are often confusing, adversarial, and sometimes downright deceptive. It makes sense when you realize that Amazon and Google’s primary customers are merchants and advertisers, not you and me.\n\nOur goal is to help you cut through the noise and go from “having an intent” to “getting it done.”\n\n### **Our ask**\n\nIf you have an iPhone, try out our mobile app! Please reach out to [founders@usesimple.ai](mailto:founders@usesimple.ai) or join the [waitlist](https://www.usesimple.ai/) and we’ll onboard you soon.\n\n### **Team**\n\n[Zach](https://www.linkedin.com/in/zach-kamran/) and [Catheryn](https://www.linkedin.com/in/catherynli/) met at YC, where they spent 4 years building consumer products like Bookface, Startup School, and YC’s co-founder matching site.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=83003&key=user_uploads/195464/c3d98f3d-7cd8-408e-80aa-406f299121a0)\n\n", "url": "https://www.ycombinator.com/launches/Lal-simple-ai-a-better-siri", "votes": 92, "created_at": "2024-08-13T19:45:00.331Z" } ] }, { "id": 29790, "name": "YouShift", "slug": "youshift", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a22f1efd256331a2e5ea299a5c6ecd931817254.png", "website": "https://www.you-shift.com/", "all_locations": "New York City, NY, USA", "long_description": "YouShift uses AI to automate hospital shift scheduling, replacing legacy software and eliminating the need for full-time schedulers. And scheduling is just the beginning — we're building the future of healthcare workforce management.", "one_liner": "The OS for hospital workforce management", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Human Resources", "launched_at": 1738883676, "tags": [ "Health Tech", "Healthcare", "HR Tech", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Human Resources" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/youshift", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/youshift.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/you-shift", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a22f1efd256331a2e5ea299a5c6ecd931817254.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1884173, "full_name": "Lucía Vives Martorell", "title": "Founder/CEO", "founder_bio": "Originally from Barcelona, I studied Biomedical Science at University College London and Harvard. I am the co-founder of YouShift, a SaaS platform that automates shift scheduling for hospitals, helping healthcare professionals achieve better work-life balance and reduce burnout.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luciavivesmartorell/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d404998a534e5692d00fa4c58aca1461e233c36e.jpg" }, { "user_id": 1383017, "full_name": "Jota Chamorro", "title": "Founder/CTO", "founder_bio": "Cofounder at YouShift. Building the AI-native workforce OS for healthcare. Previously at Harvard CS", "is_active": true, "linkedin_url": "https://linkedin.com/in/jotachamorro", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f9833fc0703226c761def354d6f1eb322618fef.jpg" }, { "user_id": 434646, "full_name": "Adolfo Roquero Gimenez", "title": "Founder/CIO", "founder_bio": "YouShift, automating shift-scheduling for hospitals\nWorked as a Software Engineer in Google Ads Infrastructure building the largest, low-latency and reliable mechanism to load and serve key-value data across Google Ads.\nStudied Computer Science at Harvard University graduating with honors.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/adolfo-roquero-gimenez-a8b853181", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17ec15d9f8555d3cec9a2a47af5aae97cc4fb217.jpg" } ], "jobs": [ { "id": 106406, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/youshift/jobs/LMLoswh-founding-account-executive", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $350K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106407, "title": "Founding Business Development Representative", "url": "https://www.ycombinator.com/companies/youshift/jobs/tgkvAql-founding-business-development-representative", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$115K - $125K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 88083, "title": "YouShift – AI-powered shift scheduling for healthcare", "tagline": "We use AI to automate hospital shift scheduling, eliminating the need for full-time physician schedulers while ensuring efficient and compliant staffing. ", "body": "# **TL;DR**\n\nHospitals use complex, unintuitive scheduling software **that still requires full-time administrators** to manage it. Entire teams spend **hours juggling shifts, fixing errors, and handling last-minute changes** — leading to inefficiencies, staff dissatisfaction, and **billions in lost productivity and resources.**\n\n**YouShift replaces manual work with AI-powered automation** that creates **fair, efficient, and compliant schedules.**\n\n# **The Problem: Shift scheduling is a mess**\n\nMost hospitals rely on **manual scheduling processes and fragmented, unintuitive software** platforms that don't integrate. Schedulers and physicians spend hours adjusting shifts and then manually transferring data between disconnected systems, wasting time, increasing errors, and creating inefficiencies.\n\nBad scheduling impacts **hospital efficiency, staff well-being, and patient care** — a problem that healthcare simply can't afford.\n\n# **The Solution: AI scheduling that works for everyone**\n\nUnlike traditional scheduling tools, **we don’t just digitize spreadsheets — we replace them with an intelligent system that optimizes scheduling** for both staff and hospitals.\n\n\n\n# **Scheduling is just the beginning…**\n\nWe're not stopping at scheduling. Our vision is to build the **all-in-one healthcare workforce management system** — think **Rippling for healthcare**. This includes:\n\n* Payroll & time tracking\n* Credentialing & compliance\n* Hiring, staffing analytics & workforce optimization\n\n# **The Backstory: Why we’re building this**\n\nWe’ve seen this problem firsthand — we all grew up seeing **doctors in our family** who have struggled with chaotic schedules, last-minute changes, and burnout. Hearing their frustrations made us realize how **outdated the system is**, and we knew technology could do better.\n\nWhile still undergrads at Harvard, we decided to team up and tackle this problem. Now, more than 1000 doctors across Europe and the US use YouShift to create their schedules.\n\n![uploaded image](/media/?type=post&id=88083&key=user_uploads/1884173/df3b1762-ce6d-45dc-8c96-42423fc5be40)\n\n**Our Ask**\n\nWe’re looking to connect with **hospital leaders and medical teams** struggling with scheduling.\n\nIf you or someone in your network deals with scheduling challenges, let’s talk! We’d love to hear from you and see how YouShift can help.\n\nReach out or introduce us — we’d greatly appreciate it!\n\n![uploaded image](/media/?type=post&id=88083&key=user_uploads/1884173/7905dd19-afc5-4d0c-884e-f392159252ef)\n\n", "url": "https://www.ycombinator.com/launches/Muh-youshift-ai-powered-shift-scheduling-for-healthcare", "votes": 49, "created_at": "2025-02-26T21:55:34.938Z" } ] }, { "id": 29969, "name": "OrgOrg", "slug": "orgorg", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fb29e15efef66c7b44bb861d2b14c2d4cc13ca4.png", "website": "https://orgorg.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "OrgOrg is a suite of apps that keeps teams productive and healthy regardless of the size of your organization. Founded by the creator of Zenter (YC 07, acquired by Google and became Google Slides), OrgOrg is designed to be a natural extension of Google Workspace Apps to help run organizations collaborate better leading to higher productivity.\r\n\r\nToday the suite includes apps like:\r\n \r\n• Go links: Go links allows anyone in the org to easily name any link so team members can jump directly to the information that matters most: go/sales, go/production, go/anything-you-want.\r\n• Profiles with Personality: OrgOrg profiles are as insightful as they are delightful. They not only show you the expected org chart data, but also highlight accomplishments, how you like to work, and who you are as a person.\r\n• Goal tracking: Track, share, and collaborate on \"big rock\" goals on the cadence that makes sense for your team from daily to annually.\r\n• Branded New Tab: Keep the team focused the next major milestone, broadcast announcements, and keep important links top of mind every time a new browser tab is opened.\r\n• All Hands Q&A: Crowdsource questions, anonymously if desired, for large team meetings to make sure everyone's voice is heard, and the most top of mind questions are answered and recorded.\r\n• Smart Groups: Create rules based groups of people and use them to make sure the right people are in the right conversations and have the right access. For example, anyone with the title of \"Software Engineer\" should be in the #eng slack channel and eng@ google group.\r\n• On-call: Schedule smart rotations that take into account balancing the load and using signals from calendar schedules to make sure you don't waste time figuring out who can cover what in a fair way. Easily page the on-call from slack, API, or OrgOrg directly.\r\n• And more...\r\n\r\nAll the tools you need so you can spend more time focusing on your core business, and less time focusing on the complexity that comes from running an organization.", "one_liner": "Organizational productivity suite for companies", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1722926943, "tags": [ "B2B", "Productivity", "Collaboration", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "OrgOrg is the culmination of 25 years of being an operator. OrgOrg is the third company I’ve founded. My first, Zenter (YC S07), was acquired by Google and turned into Google Slide. I led much of the G Suite in the early days and grew the product to Google’s 4th billion dollar, and billion user product. As good as Google Workspace is as an employee productivity suite, it misses the mark as an organizational productivity suite. The tooling and applications needed to run organizations is largely missing from the suite. So, when I founded my second company in 2016, Humu, I found myself having to rebuild all the internal tools I’d come to rely on to run a productive organization. Things like great employee profiles, anonymous all hands Q&A software, go links, rules based groups of people, and about a dozen more tools and apps that are required run the organization were all absent from existing productivity suites. While there are point-wise solutions to solve some of these problems, it’s clear organizations need a suite of them that seamlessly operate together. In much the same way as the market for the employee productivity suite of docs, sheets and slides is larger than sum of the parts, so to is the market for an organizational productivity suite that brings the best tools together in a cohesive way." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "OrgOrg is solving the problems that arise from organizational complexity, so we can all be more productive and have a bigger impact. I’ve always had a passion for making work better for people. I believe working is fundamental to the human experience. We have a natural propensity to come together and build things that are bigger than what we could do by ourselves. In it’s purest form, work gives us a sense of purpose and joy. However, as organizations add people and grow linearly, the complexity that comes from each addition team member grows exponentially. The added complexity of having to interact with more people causes inefficiencies in communication, reduced focus and velocity, and erodes the sense of purpose that is critical to building successful teams. These problems can be mitigated with the right tooling and technology. With the advent of AI, it’s clear we are on the brink of a change in the labor market as big as the industrial revolution. But, make no mistake, work isn’t going away — because humans will always find ways to work together. The companies that embrace the fundamental reasons why we work, and embrace the technology to help mitigate the challenges of working together, are going to be the ones that are successful. In 2007, with the advent of GSuite (Google Workspace), we fundamentally changed the way people work, and OrgOrg is going to do it again." } ], "url": "https://www.ycombinator.com/companies/orgorg", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/orgorg.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/93273339", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fb29e15efef66c7b44bb861d2b14c2d4cc13ca4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/dca6df90314789aed34142d59de11a1fa2c394a3.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 39282, "full_name": "Wayne Crosby", "title": "Founder/CEO", "founder_bio": "Wayne is the CEO and founder of OrgOrg, an Organizational Productivity Suite. His first startup, Zenter (W07), was acquired by Google and became Google Slides. Wayne spent 10 years at Google building GSuite, Sign-In with Google, Google+, Applied Machine Intelligence, and more. In 2016, Wayne founded Humu, a company focused on making work better by using software and behavioral change. Humu was acquired by Perceptyx in 2023. Wayne has also been a visiting partner at YC for S23 & W24 batches.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wcrosby/", "x_url": "https://twitter.com/wcrosby", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a30dc9b080313e10ac0d3c8615e22d6fe7b9393a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87985, "title": "OrgOrg Screen Recording", "tagline": "Stop using Loom, Screen recording is now part of the OrgOrg Suite", "body": "![uploaded image](/media/?type=post&id=87985&key=user_uploads/39282/c43abadc-1483-4304-9217-ea072bc5b8db)\n\nThere are too many point wise SaaS products to run your org! Every couple of months, we knock off another one and include it in the OrgOrg suite. Today I'm excited to announce our Loom competitor, the Screen Recorder! 🚀\\\n[See a demo of in action, using the product itself](https://orgorg.com/recorder/33/34mxOUCLCWgqNYRUFZfnGk).\n\nWhether you need to record demos, pitches, bugs, or customer journeys, the Screen Recording app makes capturing and sharing information easy and engaging - connect OrgOrg to Slack to react with all your Slack emojis, too.\n\nIf you use loom today, this is an easy drop-in replacement. Now available to everyone, it streamlines communication and boosts productivity without paying for another product.\\\n\\\nThe OrgOrg suite now includes go/ links, an all-hands AMA, on-call, branded company new tabs, great employee profiles, an org chart, goals tracking, screen recording, and more is on its way. Let’s make all those internal tools work together better for WAY less.\n\nYou can sign up for a free OrgOrg account today at [orgorg.com](http://orgorg.com).", "url": "https://www.ycombinator.com/launches/Mt7-orgorg-screen-recording", "votes": 5, "created_at": "2025-02-25T00:07:37.549Z" }, { "id": 82924, "title": "OrgOrg - The Organizational Productivity Suite", "tagline": "Stop paying for all those pointwise internal tools", "body": "![uploaded image](/media/?type=post&id=82924&key=user_uploads/39282/98481f54-27d9-4673-8d6c-89454b13b5af)\n\n**TLDR;**\n\nWe’re building all the internal operational tools you need to run your company, no matter the size. My first startup (Zenter YC W07), sold to Google and became Google Slides. We changed the way more than a billion people work, and I’m doing it again with OrgOrg. Try it [here](https://orgorg.us).\n\n**The Problem - There are too many SaaS pointwise solutions! Seriously.**\n\nThe world over-rotated to point solutions in SaaS. It’s not unusual to have 20+ minor SaaS products to do various organizational chores. It’s easy to see why this happened because you need different tools at different sizes, but it’s also not what users want. It’s expensive, annoying to manage, and none of them work together to create a better user experience.\n\n**The Solution - OrgOrg!**\n\nOrgOrg draws on 25 years of experience leading high-performing teams from founding to big tech. We're building a suite with all the internal SaaS tools that you need for each stage of your company. You save money, time, and they all work together nicely.\n\nFor early stage companies, [Go links](https://orgorg.us/apps/shortlinks), “Big Rock” [Goal tracking](https://orgorg.us/goals), and branded [New browser tabs](https://orgorg.us/apps/new-tab) (with countdowns to your next milestone — like Demo Day) are great ways to stay focused and efficient. For larger teams, add in [Profiles with personality](https://orgorg.us/apps/peopleprofiles), [Smart Groups](https://orgorg.us/apps/rosters) (eg, add all engineers to the #eng channel & eng@ group), [All Hands Q&A](https://orgorg.us/apps/qa), and smart [On-Call management](https://orgorg.us/apps/on-call) to fight the problems that come with the complexity of larger teams. Our roadmap is full of high utility internal apps and tools that build on each to help you run your company better. No matter the size of your org, you can be confident that the right internal tools will be in place when you need them.\n\nJust as no one buys Google Slides alone, buying just an All-Hands Q&A product isn’t enough. OrgOrg’s suite offers significantly more value than the sum of the parts of existing pointwise solutions. At $5/person/month, it's easy to get started and join over 400 organizations already using OrgOrg today.\n\n**Asks**\n\nWant your team to move faster at every size? [Sign up for OrgOrg and give it a try](https://orgorg.us).\n\nHave an internal app you’ve used before that you wish you could have at your company? Let me know at [wayne@orgorg.us](mailto:wayne@orgorg.us).", "url": "https://www.ycombinator.com/launches/LZU-orgorg-the-organizational-productivity-suite", "votes": 57, "created_at": "2024-08-11T18:00:46.391Z" } ] }, { "id": 30042, "name": "Vortexify", "slug": "vortexify", "former_names": [ "Praxis AI", "Vortexify AI", "VortexifyAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb3be511411bbaed481f911d10c8dcbfcfbc8735.png", "website": "https://www.vortexify.ai", "all_locations": "New York City, NY, USA", "long_description": "Vortexify is an AI app builder for full-stack, internal business apps. Businesses such as manufacturers, hospitals and logistics services use Vortexify to solve complex, operational problems such as scheduling, process optimization, forecasting, root cause analysis and scenario planning.\r\n\r\nOur agents encode business logic by mapping operational problems to the data in your systems and collaborating with domain experts. Operations teams can build apps without writing code. Engineering teams can edit and manage agent written code at any time.\r\n\r\nVortexify builds applications beyond simple dashboards with native support for databases, scheduled tasks, optimization solvers, machine learning models, data pipelines, API calls and more. Our secure, managed infrastructure enables our agents to build quickly and get it right the first time.\r\n\r\nSolve your hardest operations problems today! Create a free account to get started. For additional technical services or support, contact us or book a demo.", "one_liner": "Build full-stack applications for business operations with AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1732148257, "tags": [ "Supply Chain", "Big Data", "Operations", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vortexify", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/vortexify.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vortexifyai/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/praxis-ai-3f53", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb3be511411bbaed481f911d10c8dcbfcfbc8735.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02022275121dfb0849389828122b58609e85cff6.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/83418a5c5d118603a8782d241a2132980786f738.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1565343, "full_name": "Aditya Tewari", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Praxis AI. Previously a tech lead at Palantir that specialized in converting early stage enterprise customers in the manufacturing vertical by building AI solutions. I’ve been passionate about AI/ML for 8+ years since high school when I first helped startups in my local Cincinnati area optimize their marketing strategies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adityatewari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/782b38d53b354dc272edc0dad7b7bdfaedc7df36.jpg" }, { "user_id": 2229645, "full_name": "Ransika Liyanage", "title": "Founder", "founder_bio": "I've spent 8+ years working in the manufacturing industry. During that time I've experienced firsthand the frustration of spending my entire shift resolving a machine downtime, which ultimately could've been prevented. Existing solutions are too focused on dashboards and metrics rather than actions. That's why I'm passionate about arming manufacturing engineers with Praxis AI, enabling them to combine their tribal knowledge with AI insights.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ransika-liyanage/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be3bdb3f8251df73fa38c4964a07add59b8e885c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85869, "title": "Praxis AI - Reasoning Agents Fine-Tuned for Manufacturing", "tagline": "Meet Praxis AI, the platform made to eliminate fire-fighting for manufacturing engineers", "body": "# TL;DR\n\nPraxis AI builds manufacturing-specific agents capable of reasoning and processing complex situations. Our engineering copilot predicts and prevents machine failures in real-time by solving problems the same way an engineer would. This results in proactive maintenance which helps prevent unplanned downtimes and quality defects.\n\n[Launch Video](https://www.youtube.com/watch?v=qJ41WG_X8pw):\n\n# The Problem\n\nWe have over 10 years of experience working in the manufacturing industry between the two of us. During that time we have noticed that manufacturing engineers are constantly being pulled in every direction due to production issues popping up in multiple parts of the plant. \n\nThis reactive approach results in:\n\n* Large amounts of unplanned downtime, resulting in lost throughput\n* Unnecessary wear and tear on expensive manufacturing machinery\n* Quality defects requiring non-value add rework prior to customer delivery\n\nFrom unplanned downtimes alone, US manufacturers lose over **$50 billion dollars per year**. \\\n\\\nUnfortunately, existing solutions are:\n\n* Complex and required large amounts of data science/computer science knowledge\n* Focused on dashboarding and KPI metrics\n* Extremely costly to implement and maintain\n* Not tailored for manufacturing use cases\n\n# The Solution\n\nPraxis AI provides manufacturing engineers with an end-to-end solution for identifying and root-causing machine issues by following a 5-step reasoning process. This mimics exactly how an engineer would solve an issue in the real world. Our platforms core competencies include:\n\n1. **SOTA AI architectures for manufacturing** - Our models have been specifically designed to work with time series data coming from the manufacturing shop floor.\n2. **No code tools for manufacturing engineers** - The Praxis AI platform can be used without ever touching a Jupyter notebook.\n3. **Explainable AI for root cause analysis** - Our UI gives users full visibility into the reasoning behind the output of our models, and our copilot Max.e.\n4. **Operationalized machine learning models** - Praxis ensures that every model that is built is able to be utilized every single day to drive actual changes on the shop-floor. It's not just a pretty dashboard to look at.\n\nThe Praxis platform provides the tools needed for engineers to make changes on their shop-floor which can lead to reductions in unplanned downtimes, reduced scrap/waste, improvements on the efficiency of their machines, and so much more. We’ve built the platform in a way that as we continue to work with more customers, we will be able to encompass more and more use cases. We’ve already begun preliminary work on adding production order optimization and maintenance backlog management to our solution suite. \n\n# The Team\n\n![uploaded image](/media/?type=post&id=85869&key=user_uploads/2229645/e65c1855-0e3c-4b5a-9014-22f633580153)\n\nWe have been working in the manufacturing industry for our entire professional career, and are extremely passionate about being on the cutting edge of manufacturing technology.\n\nRansika has worked at multiple manufacturing companies like GM, Tesla, and Rockwell Automation. During this time he has worked a variety of foundational manufacturing roles like manufacturing engineer, quality engineer, controls engineer, and production planner. During this time he managed multiple projects building and implementing various digital manufacturing projects globally which resulted in millions of dollars in cost savings per year. For the last two years he has been working at Deloitte as a product lead for Deloitte’s Intelligent Ops platform.\n\nAditya worked at Palantir for three years, ending his career there as a technical lead. During this time he specialized in converting pilots in the manufacturing vertical with a 100% success rate and a TCV of over $15 million dollars. Aditya has had a passion for ML/AI in manufacturing since early college, first excelling in the space by building a predictive model for General Motors and winning first in a data challenge of over 50 teams of PhD and masters students.\n\n# Our Ask\n\nIf you are interested in testing our solution out, we would love to be in touch to do a free factory assessment! We are looking to test our solution in a variety of different manufacturing environments, but have a particular affinity to continuous processes that can be found at paper mills, oil refineries, and chemical plants. Feel free to reach out at [founders@praxis-tech.ai](mailto:founders@praxis-tech.ai). Thanks!", "url": "https://www.ycombinator.com/launches/MKz-praxis-ai-reasoning-agents-fine-tuned-for-manufacturing", "votes": 61, "created_at": "2024-11-25T21:20:07.954Z" } ] }, { "id": 30427, "name": "Acolite", "slug": "acolite", "former_names": [ "Blueplan", "Anvil" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bee88ddf2837ce69f6bc53bc24d264569098af38.png", "website": "https://acolite.ai", "all_locations": "Philadelphia, PA, USA", "long_description": "Acolite is an AI-powered insurance brokerage purpose-built for the construction industry. We combine modern technology with dedicated, licensed brokers to help contractors get the right coverage faster and at better rates than traditional brokerages can offer.", "one_liner": "AI Native Commercial Insurance Broker", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1747166393, "tags": [ "Insurance", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/acolite", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/acolite.json", "year_founded": 2024, "city": "Philadelphia", "country": "US", "linkedin_url": "https://www.linkedin.com/company/acoliteai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bee88ddf2837ce69f6bc53bc24d264569098af38.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2511271, "full_name": "Daniel Siryakov", "title": "Founder/CEO", "founder_bio": "CEO of Acolite - Acolite is an AI-powered insurance brokerage purpose-built for the construction industry. We combine modern technology with dedicated, licensed brokers to help contractors get the right coverage faster and at better rates than traditional brokerages can offer.\n\nFormer AI PM, former MLE building systematic investment strategies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-siryakov-cfa-07071255/", "x_url": "https://x.com/danielzohan1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5eeb9ab1d6d2404357891d571476164a87453d8d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95549, "title": "Acolite - AI Commercial Insurance Brokerage", "tagline": "Commercial insurance, built for builders.", "body": "Hello! We're **Acolite** ([acolite.ai](http://acolite.ai)) — an AI-native **commercial insurance brokerage** built for contractors and trade businesses. We pair licensed brokers with AI teammates so clients get specialist expertise at software speed: same-day COIs, faster quotes, and brokers who actually know your trade.\n\nForward an email or call your broker — Acolite handles the rest.\n\n### **The problem**\n\nConstruction insurance is getting harder.\n\nContractors are dealing with rising premiums, carrier pullback, stricter contract requirements, more certificate requests, workers’ comp audits, action-over exclusions, subcontractor risk, and project owners asking for very specific coverage language.\n\nAt the same time, most brokers still operate the old way: manual applications, slow turnaround, limited coverage review, and little visibility into whether a policy actually matches the contractor’s risk.\n\nThat creates real problems:\n\n* Contractors overpay for coverage that may not protect them\n* Contracts get delayed because COIs or endorsements are wrong\n* Workers’ comp audits lead to surprise bills\n* Gaps in GL, auto, umbrella, or subcontractor coverage show up only after a claim\n* Business owners spend too much time chasing insurance instead of running jobs\n\n### **What Acolite does today**\n\nAcolite combines the traditional relationship-driven brokerage model with AI behind the scenes.\n\nWe help contractors:\n\n* Review existing policies and identify coverage gaps\n* Shop general liability, workers’ comp, commercial auto, umbrella, excess, and other construction policies\n* Compare quotes across carriers\n* Analyze contracts and insurance requirements\n* Check COIs, endorsements, additional insured language, waiver of subrogation, and primary & non-contributory requirements\n* Prepare cleaner submissions so carriers can quote faster\n* Navigate audits, renewals, and mid-term changes\n\nOur goal is simple: help contractors get the right coverage at the right price, without the usual back-and-forth.\n\n### **Who we serve**\n\nWe’re starting with construction because the pain is obvious and urgent.\n\nIf you’re searching for contractor insurance, general contractor insurance, electrical contractor insurance, roofing contractor insurance, HVAC contractor insurance, concrete contractor insurance, solar contractor insurance, or workers’ comp for contractors, we can help.\n\n### **Our ask**\n\n* If you’re a contractor, developer, or construction business owner, email me at [daniel@acolite.ai](mailto:daniel@acolite.ai) — I’m happy to review your current insurance and see if we can improve it.\n* If you’re a YC founder or friend of Acolite, introductions to contractors, GCs, developers, lenders, property owners, or construction-adjacent businesses are extremely helpful.\n\n![uploaded image](/media/?type=post&id=95549&key=user_uploads/2511271/a9b0aa26-e9af-4020-a4c8-73a21f46cf6a)\n\n", "url": "https://www.ycombinator.com/launches/Or7-acolite-ai-commercial-insurance-brokerage", "votes": 32, "created_at": "2025-11-17T16:21:30.815Z" }, { "id": 90371, "title": "Anvil - Be the Answer in AI Search", "tagline": "Optimize your brand's visibility within LLMs", "body": "### **⚠️ The Problem: You're Invisible Where It Matters**\n\nLLMs like ChatGPT are changing how people discover brands. Most companies have **zero visibility** into how often they’re mentioned, what queries they rank for, or which competitors are winning.\n\nThat means:\n\n* **You don’t know what LLMs are saying about you (or not saying).**\n* **You don’t know how to improve it.**\n* **You’re losing qualified traffic to better-optimized competitors.**\n\n---\n\n### **🛠️ Meet Anvil - LLM SEO for the AI Era**\n\nWe help companies **track, analyze, and grow their visibility** inside LLM platforms like ChatGPT, Gemini, and Claude.\n\n✅ **Monitor** your brand’s performance across thousands of user queries\\\n📊 **Benchmark** against competitors and discover where you're falling behind\\\n🔧 **Optimize** your content and metadata to rank better in AI-generated answers\n\nThink of it as **Ahrefs + Google Search Console - but for LLMs**.\n\nCheck out our demo:\n\n[**https://youtu.be/2TlFoldPEAc?feature=shared**](https://youtu.be/2TlFoldPEAc?feature=shared)\n\n### **Why Anvil?**\n\n🚦 Know what people _actually_ ask when your brand should be the answer\n\n📈 Identify which queries you're winning - and where you're invisible\n\n🔍 See which competitors are being recommended instead\n\n⚙️ Actionable insights to fix content gaps and optimize discoverability\n\n🧠 Built by a team who knows LLMs, SEO, and growth - not just buzzwords\n\n---\n\n### **The Ask**\n\nWe're onboarding a handful of design partners before Demo Day. Connect us with any interested CMOs!\n\nIf you want your company to _show up_ and _stand out_ in ChatGPT and beyond, drop us a message or comment below. We’ll run a free audit to show you how you stack up!\n\n📩 \\[[**daniel@joinanvil.com**](mailto:daniel@joinanvil.com)\\]\n\n🌐 \\[[**joinanvil.com**](http://joinanvil.com)\\]\n\nLet’s make sure the next time someone asks, **you’re the answer.**\n\n— Daniel, and Barak\n\nAnvil (YC X25)", "url": "https://www.ycombinator.com/launches/NVb-anvil-be-the-answer-in-ai-search", "votes": 35, "created_at": "2025-05-14T00:16:12.112Z" } ] }, { "id": 30480, "name": "Flott HQ", "slug": "flott-hq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb20e1f29c5b7138851e75459877c74ca0beccf7.png", "website": "https://www.flotthq.com", "all_locations": "Paris, Île-de-France, France", "long_description": "Flott helps transport and logistics companies run leaner, smarter, and more profitable operations. Flott unifies everything transport and logistics teams need in a single, AI-powered control center—bringing planning, live tracking (gps, fuel, etc), invoicing, and payments into one place and delivering true end-to-end visibility. Flott’s AI agents act as an extension of fleet managers — automating repetitive tasks and optimizing workflows.This lets companies focus on what truly matters: growing the business.", "one_liner": "AI-native operating system for vehicle fleet management", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746507069, "tags": [ "Logistics", "Transportation", "Operations", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/flott-hq", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/flott-hq.json", "year_founded": 2025, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/flott-hq", "x_url": "https://x.com/flott_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb20e1f29c5b7138851e75459877c74ca0beccf7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1796881, "full_name": "Sylvanus MAHE", "title": "Founder/CEO", "founder_bio": "Buiding The AI that drives fleet management forward", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sylvanus-mahe", "x_url": "https://x.com/sylvanus_mahe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79283ff38ac16588e6816753addb18f3914c2821.jpg" }, { "user_id": 2092587, "full_name": "Kanvaly Fadiga", "title": "Founder/CTO", "founder_bio": "Buiding The AI assistant that drives fleet management forward", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kanvaly-fadiga", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cf0d081879c89737bf7d126b8cff8b5cd8606c8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90763, "title": "Flott HQ - AI-native Operating System for Fleet Management", "tagline": "All your fleet data in one place, with AI agents handling the busywork", "body": "# **TL;DR**\n\nFlott helps transport and logistics companies run leaner, smarter, and **more profitable operations.**\n\n**Flott unifies everything transport and logistics teams need in a single, AI-powered control center** — connecting operational data (planning, gps, fuel, etc.) and financial data (revenue, customers, orders) in one place to deliver true end-to-end visibility. Flott’s AI agents act as an extension of fleet managers, automating repetitive tasks and optimizing workflows. This enables companies to focus on what truly matters: growing the business.\n\nhttps://youtu.be/P6UUBwV7kVk\n\n**🚨 The Problem**\n\n**Fleet operations today are burdened by complexity, silos, and inefficiencies.**\n\nMost teams rely on a patchwork of disconnected tools, leading to:\n\n* Business owners **lacking clear end‑to‑end visibility**\n* **Manual workflows** and duplicated effort\n* **Endless back‑and‑forth** between dispatch, drivers, and admin\n* Delayed invoices, lost payments, and shrinking margins\n\nAs operations grow, so do the headaches — making it harder to scale without losing control. Many companies end up losing money without even realizing it, buried under operational inefficiencies and lack of visibility.\n\n**✅ The Solution**\n\nFlott unifies everything transport and logistics teams need into one AI‑powered control center.\n\n📆 **Planning**: AI-assisted planning and dispatch\n\n📍 **Live Tracking**: track your asset position but also resource consumption like fuel, mileage, driving hours…\n\n💸 **Invoicing & Payments**: Fast, automated billing and payment tracking — Dynamic and customizable pricing strategies\n\n👥 **Collaboration**: Collaborate within your team to get things done faster with the help of our **AI Agents**\n\n📊 **Insights**: Powerful analytics to reduce costs and increase efficiency — Track the KPIs that matter in real-time and get in-depth AI-based insights from operations to finance\n\n**Traction:** We are already at $200k ARR, growing 45% month over month, all of it through word of mouth.\n\n## **The Team**\n\nWe’re [**@Sylvanus MAHE**](https://www.linkedin.com/in/sylvanus-mahe) and [**@Kanvaly Fadiga**](https://www.linkedin.com/in/kanvaly-fadiga/), we are AI Engineers and ops specialists from McKinsey and Datadog. We’ve seen first-hand how fragmented tools drain margin and burn teams out when we launched our own car rental side business.\n\n### **🚀 Our Ask**\n\nWe’re onboarding logistics and mobility teams looking to unify their ops and grow faster. If you know anyone in fleet operations, transportation, trucking, or mobility in general — let’s talk.\n\n🌐 Website: [**https://www.flotthq.com**](https://www.flotthq.com)\n\n👉 Book a demo: [**https://cal.com/team/flott-hq/demo**](https://cal.com/team/flott-hq/demo)\n\n📬 Email us: [**founders@flotthq.com**](mailto:founders@flotthq.com)\\\nFollow us: [**Linkedin**](https://www.linkedin.com/company/flott-hq), [**X**](https://x.com/flott_hq)\n\n![uploaded image](/media/?type=post&id=90763&key=user_uploads/2092587/b1e79f7f-1f3a-42ba-9f73-9fbb07f7c6ba)\n\n", "url": "https://www.ycombinator.com/launches/Nbv-flott-hq-ai-native-operating-system-for-fleet-management", "votes": 40, "created_at": "2025-05-27T15:37:08.170Z" } ] }, { "id": 30540, "name": "Lumari", "slug": "lumari", "former_names": [ "Rextly" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12837739c0d64330042216a7aa87b32fd0deb815.png", "website": "https://www.lumari.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Lumari is the world's first AI-powered procurement automation platform purpose-built for direct materials and supply chain execution. \r\n\r\nBacked by Y Combinator, Lumari is a well-funded startup that deploys 100s of always-on AI agents that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end -- compressing cycle times and giving teams full visibility into active orders, RFQs, and supplier performance.\r\n\r\nFounded by engineers from Google, Tesla, Amazon, and Stripe who have built and scaled supply chain systems serving millions of users. \r\n\r\nBuilt to operate directly on top of existing tools and ERP systems, Lumari helps procurement teams move faster, eliminate operational bottlenecks, and build more resilient supply chains. No rip-and-replace, no supplier onboarding. Lumari handles the manual chase: quote follow-ups, PO confirmations, delivery status updates, and risk escalation.\r\n\r\nLumari helps companies from Fortune 500s to fast-growing startups automate work from sourcing to delivery, streamline supplier communication and order management, and bring full visibility to their procurement operations.\r\n\r\nTo learn more check out https://lumari.ai/", "one_liner": "AI Digital Workers for Supply Chain ", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1747084472, "tags": [ "B2B", "Manufacturing", "Supply Chain", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lumari", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/lumari.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lumari-io", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12837739c0d64330042216a7aa87b32fd0deb815.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1755497, "full_name": "Eshani Mehta", "title": "Founder/CEO", "founder_bio": "Co-founder @ Lumari, re-imagining the future of supply chain. Ex-Stripe engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eshanimehta/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87dfe945f1e425941d65061c450d67e488db7554.jpg" }, { "user_id": 526569, "full_name": "Sam Lamba", "title": "Founder/CTO", "founder_bio": "Building Lumari! Previously at Google, Amazon, Tesla", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samarthlamba", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22695c558455111f087a54e7ac9de735f2b5fe75.jpg" } ], "jobs": [ { "id": 87969, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/lumari/jobs/EaQMR7l-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $170K", "equity_range": "0.20% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript" ] }, { "id": 92320, "title": "Former Founders", "url": "https://www.ycombinator.com/companies/lumari/jobs/XuEG5NT-former-founders", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 93602, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/lumari/jobs/y8Reyou-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $170K", "equity_range": "0.25% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90564, "title": "Lumari - AI Digital Workers for Supply Chain", "tagline": "We enable supply chain teams to automate manual work with always-on AI teammates that monitor, coordinate, and take action.", "body": "Hey everyone! We’re [Sam](https://www.linkedin.com/in/samarthlamba/) and [Eshani](https://www.linkedin.com/in/eshanimehta/), the co-founders of Lumari 🔥\n\n**TL;DR:** Lumari is AI-powered procurement automation for direct materials and supply chain. We deploy **100s of always-on AI agents** that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end.\n\n### **The Problem ❌**\n\nSupply chain teams are stuck in reactive mode.\n\n* Buyers spend their days copy-pasting between email, spreadsheets, and ERPs, chasing supplier quotes, following up on late POs, and manually entering delivery updates\n* Missed delivery dates and poor visibility lead to expediting costs, production delays, and revenue risk\n* Existing tools require suppliers to adopt new portals and force rigid workflows that don't reflect how teams actually operate\n* There's too much operational work and not enough time for strategic decision-making\n\n### **Lumari’s Solution ✨**\n\nLumari brings autonomous agents to supply chain and acts as a **force multiplier** for the team.\n\n* **Automates** the manual chase across the entire procurement lifecycle, from RFQs to PO tracking to supplier follow-ups\n* Compresses cycle times and gives teams full **visibility** into active orders, RFQs, and supplier performance\n* Operates directly on top of **existing tools** (ERP, email, Slack, Excel) with no rip-and-replace and no supplier onboarding\n* Teams are always in **control** with configurable guardrails and approval layers for every action\n* **Customize** your agent behavior and configuration in plain English\n\nWe **partner** closely with every customer to adapt our agents to their specific processes and systems, from **Fortune 500s** to fast-growing scale-ups.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=90564&key=user_uploads/1755497/3a1a90ce-6ebb-49fc-8c0e-6b1cd98be8fb)\n\n[Sam Lamba](https://www.linkedin.com/in/samarthlamba/) is an ex-Google engineering lead who led the development of AI-driven products that scaled to millions of weekly enterprise users, and has received 2 AI patents. Sam also previously worked at Amazon and Tesla and holds a degree in Electrical and Computer Engineering and Computer Science from Duke University.\n\n[Eshani Mehta](https://www.linkedin.com/in/eshanimehta/) was previously at Stripe leading payments intelligence products handling $XXX million in volume. She also previously worked at Robinhood and Snap and studied Computer Science at UC Berkeley. \n\n### **Our Ask**\n\n* 📅 [Book a meeting](https://cal.com/team/lumari/lumari-demo) with us if this could be useful for you or your team\n* Follow us on [LinkedIn](https://www.linkedin.com/company/lumari-io)!\n* Check us out at [lumari.ai](http://lumari.ai) or read lumari.ai/blog to understand the problem better", "url": "https://www.ycombinator.com/launches/NYi-lumari-ai-digital-workers-for-supply-chain", "votes": 128, "created_at": "2025-05-20T18:06:51.257Z" } ] }, { "id": 30807, "name": "Paloma", "slug": "paloma", "former_names": [ "Salesmith" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png", "website": "https://getpaloma.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Paloma gives manufacturing companies an embedded team of engineers and ops experts who replace their manual operations with custom AI-native software.", "one_liner": "Digital transformation for real economy businesses", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1754546482, "tags": [ "SaaS", "Analytics", "Manufacturing", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/paloma", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/paloma.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108207089/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 520906, "full_name": "Nazli Danis", "title": "Founder/CEO", "founder_bio": "CEO and co-founder @ Paloma | Previously GPM and first product hire @ Deel where I led Employee of Record (EOR), our highest revenue generating vertical, as we blitzscaled from $10K MRR to $XXM MRR.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nazlidanis/", "x_url": "https://x.com/nazlidanis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d271a3f5b1cafb751db1b728c33034d02c60d91.jpg" }, { "user_id": 2703464, "full_name": "Alex Avnit", "title": "Founder/CRO", "founder_bio": "CRO and co-founder @ Paloma | Previously Head of Deel’s EOR Business Unit - their fastest-growing and highest revenue-generating product | Quant & Data scientist by trade.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-avnit-222b3611a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9384bffde5c89c504343f3270759669145f4083.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93175, "title": "Paloma: AI-native CRM for billing, renewals, and expansions", "tagline": "Auto-pilot everything after the handshake", "body": "### **TL;DR**\n\nPaloma unifies contracts, service consumption, and customer relationship context so that revenue, success and sales teams can operate from the same ground truth. With everything centralized, you can stay ahead of upsell and churn signals while billing runs smoothly in the background.\n\nhttps://youtu.be/jav-7qS-S4U\n\n---\n\n### **The Problem**\n\nFragmented customer context and manual billing kill revenue potential:\n\n* Account managers and customer success don’t have full visibility on which clients to pay attention to for maximizing upsells and minimizing churn\n* Complex pricing or custom deals often require manual work to bill accurately, making them hard to support and creating a real barrier to selling\n\n### The Result\n\n* Revenue opportunities slip through the cracks because signals for upsell or renewals aren’t surfaced on time\n* Teams don’t have a clear view of what they can upsell or at what price, leading to missed opportunities\n* Sales is constrained to “billable” terms, creating friction and slowing execution\n\nThe result is a reactive, fragmented go-to-market motion where growth is capped by operational bottlenecks instead of driven by customer opportunity.\n\n---\n\n### **How Paloma Solves It**\n\nPaloma is the AI copilot and system of record for everything that happens after the handshake:\n\n* **Unified ground truth:** Parses contracts, communications, notes and service consumption into one shared customer context for revops, finance and customer success.\n* **Surfaces revenue opportunities:** Flags upsells, renewals, churn risks, and usage changes and prioritizes them by impact.\n* **Automates billing workflows:** Turns complex terms into billing-ready instructions that run behind the scenes.\n* **Works with your stack:** Seamlessly integrates with your CRM, billing software, and data sources to sync context and actions.\n* **Human-in-the-loop by design:** You stay in control. Paloma learns from your feedback and gradually automates more over time.\n\n### Demo: From Contract to Invoice in Seconds\n\n**1. Upload Contract & Add Notes**\\\nEasily import customer contracts and attach important context in seconds.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXenCXn3XWc-aJ86auvk1b4EbfYkrX83Tacb9LElt6_O29CrmLlKpIV3-g3t-A_ZoEwNMRTLizwutLePHZd6OQoxoJBYoBENxRAEhjZ5StRPdrED7L42JfBVZGDrxzT9GZLvY1NwDg?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**2. Parse & Review Contract Data**\\\nPaloma extracts terms, pricing, and key conditions from the contract.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWyfWU9QpLWYr70cBoUZtfs1pqaC4uSNPLA-zF3eCa0zgAMZLXcOxQTZ2EZs-Gl2GMEaTMcyt7oDKcETvRgggs25ZpNHVSVuz0kxx3aHVqSeVKSJplYcr7lpgKw4Dxd0iAc23LpQ?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**3. Upload Usage Data**\\\nFeed in real consumption data to trigger accurate billing calculations.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXczxqONAnGu0BAaL8dL5EZ8zABzWHQyDBgMN8xgW4YBFvyu7vGKcgBTcBK9s9JNdLqq4ekGPJGVjCCO7KWRvTtxm9x9dR0n4QoPnD5qaQSj188gQ4fMT0A6QwRymziy0-VI-kXY?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**4. Generate & Review Invoice**\\\nWatch the system apply contract rules and usage to produce the final invoice, automatically.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcCNxVydjEGKUle7c1KaAb4Pqzr9zZ-H7WrQGYXDH8re-Q1ggk8tOCqwZ6Y3jvxgOl-dEmspx3B7_hWdY-gsPiHSV_nfRj_8FnQ8oPXl8zBgoNTzu8KJ1XCYPFmEVdKOSMemx8nYw?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n### **The Team**\n\nWe met at Deel, where we were early employees. Naz (CEO) and Alex (CRO) spent 3 years building and scaling Deel’s largest revenue-generating product from zero to $500m ARR. Kai (CTO) led the development of Deel’s billing and payments infrastructure from the ground up. We’ve lived the pain of messy post-sales firsthand and we’re building Paloma to solve it.\n\n![uploaded image](/media/?type=post&id=93175&key=user_uploads/2703464/b02e3435-4880-4c5e-a9a6-1f9c9b46bb59)\n\n### **Our ask**\n\nIf your team spends too much time on messy workflows, manual billing processes or you feel like you’re leaving money on the table, let’s talk.\n\n* **Book a call**: [https://cal.com/team/paloma/intro-call-with-paloma-](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n\n [founders](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n* **Or email/call us at** : [founders@getpaloma.ai](mailto:founders@getpaloma.ai) / +1 (917) 971-7795\n\nThank you!", "url": "https://www.ycombinator.com/launches/OEp-paloma-ai-native-crm-for-billing-renewals-and-expansions", "votes": 118, "created_at": "2025-08-20T14:28:04.109Z" } ] }, { "id": 30865, "name": "Lunavo", "slug": "lunavo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ddcb85e74794b0138c39337072b830c38a4934f.png", "website": "https://lunavo.ai", "all_locations": "BY, Germany", "long_description": "We build AI that runs carrier operations.\r\n\r\nLunavo is the AI assistant for carriers. It plugs directly into their existing toolstack, understands their processes, and monitors all incoming data and requests. Lunavo runs end-to-end backoffice operations, handling repetitive tasks, resolving issues autonomously, and escalating only what matters.\r\n\r\nLunavo helps carriers scale operations without scaling headcount.", "one_liner": "Lunavo is the AI assistant for carriers.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1762148896, "tags": [ "Logistics", "Transportation", "Operations", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lunavo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lunavo.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/lunavo-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ddcb85e74794b0138c39337072b830c38a4934f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2673176, "full_name": "Felix Lösch", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Lunavo | Building AI that runs carrier operations\n\nEx-McKinsey and former Managing Director at a Series A robotics logistics startup, where he scaled commercial and operations functions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/felix-loesch", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3943632025f5bce2ff8c24966ec5eb97c306e1af.jpg" }, { "user_id": 2331002, "full_name": "Niclas Heun", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Lunavo | Building AI that runs carrier operations.\n\nHe studied CS at the Technical University of Munich and the University of Waterloo, graduating top of his class. He previously worked as an AI researcher on model robustness and led teams developing AI for shop-floor operations for Siemens.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/heun", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9fcec95d0ff97373166d4466a58c892da81f1d2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95229, "title": "Lunavo - The AI assistant for trucking carrier operations", "tagline": "AI that runs your backoffice - so your team can run logistics.", "body": "Hi everyone, we’re Niclas and Felix, and we’re launching Lunavo!\n\n**TLDR:**\n\nLunavo is the AI assistant that automates the backoffice of trucking carriers so teams can focus on customers and growth.\n\n_Launch Video:_\n\nhttps://youtu.be/fKWHgdt8hv0 \n\n**The problem:**\n\nTrucking carriers coordinate complex operations to transport goods from A to B , but they spend most of their time on repetitive admin work like entering orders, updating portals, and checking systems. Most communication is still handled manually.\n\nThis creates two problems. First, teams waste hours on busywork instead of managing operations. Second, the noise makes it nearly impossible to spot issues that need attention until it's too late. A delayed pickup, missing document, or customer escalation only gets noticed when it's already urgent.\n\nThe real complexity isn't in data entry. It's in catching and resolving issues early: rerouting around delays, finding backup capacity, flagging exceptions before they cascade. Carriers need visibility and time to handle what matters, not endless manual updates.\n\nWe sat with dispatchers managing hundreds of shipments a day and saw their inbox and phone effectively act as their task managers.\n\n·   Many handle between 50 and 100 emails per hour, and most of them are repetitive.\n\n·   Teams constantly pull data from emails, PDFs, and portals into their Transport Management System (TMS).\n\n·   They often jump between ten or more tools that don't communicate properly with each other.\n\nCompanies end up paying skilled employees to move data between tools instead of running logistics\n\n**Our solution:**\n\nLunavo integrates into a carrier's existing systems as an AI teammate. When a new order arrives, it automatically extracts details, updates the TMS, and confirms with the customer. Dispatchers see: \"New order from Customer X confirmed and scheduled.\"\n\n**The system handles routine work while monitoring for exceptions** like delayed pickups, missing documents, or customer escalations, surfacing issues before they become urgent. It understands task dependencies and escalates only what needs human judgment.\n\nBecause logistics workflows often depend on implicit knowledge, our system can understand customer workflows and adapt to it. Our agents self-improve through dispatcher feedback, company documentation, and user-defined rules, automatically adapting to each customer's unique requirements without manual reconfiguration.\n\nLunavo manages to understand incoming documents, extract relevant information, challenges the inputs on plausibility and integrates them into the TMS. In case of anomalies, the system loops in the dispatcher:\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/607a54fb-83cd-423d-8c36-312523817e4b)\n\n**_Before Lunavo_**_:_ A driver is delayed. The dispatcher has to (1) log into the GPS portal, (2) inform the customer with an update, (3) manually update the TMS, and (4) update the customer's portal for delivery time. This takes up to 15 minutes of work.\n\n**_With Lunavo:_** Lunavo detects the truck's GPS delay. It _automatically_ emails the customer, updates their portal, and sends a single notification to the dispatcher to keep him in the loop: \"Driver 5 is delayed 30m. Customer X has been notified. No action needed.\"\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/bdb58f1b-2c10-4e29-b485-d64718f81c6f)\n\nLunavo helps trucking companies scale operations without scaling headcount.\n\n**About us:**\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/531e2a61-c332-4ee9-ae0a-520a28e47341)\n\nWe're Felix and Niclas, founders of Lunavo. Together, we've spent the past years at the intersection of logistics and AI.\n\n·   **Felix** worked with logistics and supply chain companies at McKinsey and later built a robotics logistics company in Germany, spending five years deeply embedded in the industry.\n\n·   **Niclas** studied Computer Science at the Technical University of Munich and the University of Waterloo, focusing on AI security and applied machine learning\n\n**Our ask:**\n\nIf you work in logistics or know someone running operations in road transportation, we would love to connect.\n\nYou can reach us at felix.loesch@lunavo.ai or visit [www.lunavo.ai](http://www.lunavo.ai).", "url": "https://www.ycombinator.com/launches/Olx-lunavo-the-ai-assistant-for-trucking-carrier-operations", "votes": 23, "created_at": "2025-11-05T22:21:16.901Z" } ] }, { "id": 30867, "name": "Soren", "slug": "soren", "former_names": [ "Remediate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/490097dc2bb667a63917b9fa0c6e2003442ad353.png", "website": "https://soren-ai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Soren is an AI-native engineering firm that helps traditional businesses put AI to work.\r\n\r\nWe combine world-class engineering talent with AI-powered delivery to modernize legacy systems, build intelligent software, and solve complex business problems.\r\n\r\nBy pairing human expertise and judgment with the speed and efficiency of AI, we deliver better technology, faster and at a fraction of the cost of traditional engineering firms.\r\n", "one_liner": "The AI Transformation Company", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759390917, "tags": [ "B2B", "Enterprise Software", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/soren", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/soren.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/soren-ai-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/490097dc2bb667a63917b9fa0c6e2003442ad353.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7a8ee7032fd4e06f7a8ed24f446cfdcbaa346720.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2568519, "full_name": "Kevin Xie", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Soren. Studied AI + Math at MIT. Former researcher at MIT, Harvard, and Johns Hopkins across neural reasoning, AI reliability, and MRI. Published in Nature BME. Worked at a handful of venture-backed startups before founding Soren. Former top-150 U.S. tennis player.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevinxie06", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/293a798edc2b39344d42789f01f9b968f3c661ff.jpg" } ], "jobs": [ { "id": 102000, "title": "Growth Intern", "url": "https://www.ycombinator.com/companies/soren/jobs/Q1niW87-growth-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$6K - $11K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 116306, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/soren/jobs/Hc2oUbv-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$120K - $250K", "equity_range": "0.50% - 4.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30975, "name": "MadeThis", "slug": "madethis", "former_names": [ "Castar", "Castari" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/73b59fa186ca146c4f90522806e84fb89b3f9f10.png", "website": "https://madethis.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "The autonomous business platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1762394891, "tags": [ "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/madethis", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/madethis.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/made-this-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/73b59fa186ca146c4f90522806e84fb89b3f9f10.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/78d23c8112ae03652c4dfb4aa77972df865284b3.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4de7c7f313b2f0060bfe6c75e252e521efebe17a.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1070542, "full_name": "Jacob Wright", "title": "Founder/CEO", "founder_bio": "Founder of MadeThis | Built & scaled AI consumer app to 1m+ users | Former founding engineer & FDE manager at RunPod. Built out RunPod's growth engineering & FDE teams as we scaled to $100m in revenue", "is_active": true, "linkedin_url": "https://linkedin.com/in/jacob-c-wright", "x_url": "https://x.com/jehovahscript", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c139be22efd43a9737b6d4fe9cadf4ea85a4bf82.jpg" }, { "user_id": 1372064, "full_name": "Cambree Bernkopf", "title": "Founder", "founder_bio": "Previously Co-Founder of MadeThis | Built & scaled AI consumer app to 1m+ users | Led product design for Remi's (YC W22) consumer facing products at 19 years old\nNow running Bernie Studios, a Design Studio for venture backed startups.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cambree-bernkopf-3385b0250", "x_url": "https://x.com/cambreedesigns", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e30cb1ea13f9b458a8359bd6f85865829e62957.jpg" }, { "user_id": 1218017, "full_name": "Santiago Gomez Paz", "title": "Founder", "founder_bio": "Building MadeThis. Previously founded Zaymo (YC W24), researched synthetic data at MIT CSAIL, and worked in product management at Turing.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gomezpaz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e85b383b3ed8bc38466aa525959868fe4f0a5c3.jpg" } ], "jobs": [ { "id": 105107, "title": "Founding Engineer, Platform", "url": "https://www.ycombinator.com/companies/madethis/jobs/gQPZaNB-founding-engineer-platform", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $350K", "equity_range": "0.10% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python", "React Native", "TypeScript", "Distributed Systems", "Machine Learning", "LLMs", "Fine-tuning", "Evals" ] }, { "id": 105108, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/madethis/jobs/dgBaRrI-forward-deployed-engineer", "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $350K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python", "TypeScript", "Machine Learning", "Fine-tuning", "Evals" ] }, { "id": 106822, "title": "Head of Research", "url": "https://www.ycombinator.com/companies/madethis/jobs/Ojbxcjv-head-of-research", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$250K - $500K", "equity_range": "1.00% - 5.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine Learning", "Fine-tuning", "AI Agents" ] }, { "id": 106823, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/madethis/jobs/QNBSA0l-founding-account-executive", "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 108368, "title": "MadeThis: The platform for self-driving businesses", "tagline": "Build a business that runs itself", "body": "**TL;DR:** MadeThis helps users launch a business in < 10 minutes and handles all of the busy work.\n\n\n\nMadeThis provides everything you’d need to run your business:\n\n* a website\n* legal incorporation\n* payments\n* marketing content\n* paid ads\n* social integration\n* etc.\n\nAND the team of AI teammates to manage it all.\n\nWithin the last 100 days, over 20,000 businesses have launched on MadeThis and $100,000s have been generated through the platform.\\\n\\\nWith customers ranging from first time founders to business owners doing $50m+ per year, MadeThis helps turn any company into a self-driving company.\n\nGet started today at \n\nMid-market enterprise doing $10m+ in revenue? Wanting custom AI teammates? Reach out to [jacob@madethis.com](mailto:jacob@madethis.com)", "url": "https://www.ycombinator.com/launches/SBs-madethis-the-platform-for-self-driving-businesses", "votes": 1, "created_at": "2026-07-30T16:40:00.795Z" }, { "id": 97921, "title": "Castari – The runtime for agents that need a computer", "tagline": "Your agent executes code, calls tools, and runs for hours. We give it a sandbox, an endpoint, and observability — with one command.", "body": "### TL;DR\n\nCastari is hosting infrastructure for agents that need more than an API call. Run `cast deploy` and your agent gets a secure sandbox, auto-scaling endpoint, and full observability.\n\nPublic beta is live today.\n\n\n\n---\n\n### The problem\n\nSerious agents aren’t just “call an API and done.”\n\nThey execute code, hit tools and browsers, run for minutes to hours, and touch sensitive systems. Every team ends up rebuilding the same fragile setup:\n\n* homegrown agentic harnesses\n* stitched-together sandboxes/microVMs/containers/queues\n* logs and traces scattered everywhere\n* hacky snapshots and suspect secret handling\n\nSo:\n\n* every agent needs its **own** mini-runtime\n* debugging one run is detective work\n* adding a new agent feels like starting a new infra project\n\nDeploying agents that work great locally turns into wrangling infrastructure.\n\n---\n\n### **The problem**\n\nSerious agents aren't chatbots. They execute code, call tools, touch filesystems, and run for hours. They need a computer.\n\nBut there's no good way to put them in production. You end up stitching together containers, queues, and compute layers — rebuilding the same infrastructure every team rebuilds. The agent works on your laptop. Getting it to work reliably for users takes weeks.\n\nWe hit this ourselves. We built an AI consumer app to 2M+ members while at RunPod (scaled to $100M revenue). The hardest part was never the model — it was the harness. Every time we shipped a new agent, we were rebuilding sandboxing, scaling, secrets, and monitoring from scratch.\n\n### **What we built**\n\nCastari wraps your agent in a secure sandbox and gives you back a production endpoint.\n\n```\nnpm install -g @castari/cli\ncast login\ncast deploy\n```\n\nYour agent now has:\n\n* **Secure sandbox** — full isolation. Your agent can safely execute code, use browsers, and access filesystems\n* **Auto-scaling endpoint** — scales with demand, no capacity planning\n* **Observability** — trace every tool call, decision, and output in real time\n* **Multi-model support** — Claude, OpenAI, xAI, open source. Your code stays the same\n* **Zero lock-in** — remove Castari and your agent still runs on vanilla Claude Agent SDK\n\n---\n\n### **How we're different**\n\nMost tools give you primitives — a sandbox API, a container runtime, a compute layer. You still stitch it together yourself.\n\nCastari wraps around your agent. You define it declaratively, we manage the lifecycle: provisioning, versioning, execution, scaling, teardown. You write agent logic, not infrastructure code.\n\n### **What's next**\n\n* Better tracing and observability — debug agent behavior in production, not after the fact\n* Higher sandbox concurrency limits — run more agents in parallel\n* Forever-running sandboxes — agents that stay alive indefinitely\n\n---\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [@Cambree Bernkopf](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ users, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n---\n\n### Try it\n\nDocs: [docs.castari.com](http://docs.castari.com)\n\nWebsite: [castari.com](http://castari.com)\n\nCLI: `npm install -g @castari/cli`\n\nOr email [jacob@castari.com](mailto:jacob@castari.com) — happy to get you deployed.\n\n— Jacob & Cambree\n\n![uploaded image](/media/?type=post&id=97921&key=user_uploads/1070542/1e7ef564-ad96-4b4e-aa0e-80212ee05604)\n\n", "url": "https://www.ycombinator.com/launches/PTN-castari-the-runtime-for-agents-that-need-a-computer", "votes": 5, "created_at": "2026-02-17T23:23:56.820Z" }, { "id": 95573, "title": "Castari - Vercel for AI Agents", "tagline": "Deploy your sandboxed agents with Castari", "body": "Hey! We’re Jacob Wright & Cambree Bernkopf, founders of [Castari](https://castari.com).\n\n### **TL;DR**\n\n**Castari lets teams deploy AI agents to secure, autoscaling sandboxes in seconds.**\n\nYou write agent logic with the **Claude Agent SDK (other frameworks coming soon)**. We turn it into a production-grade endpoint.\n\nWe’re especially focused on:\n\n* Teams building **internal agents** (ops, support, data, eng workflows).\n* Companies whose **core product is an agent** built on Claude Agent SDK and need a safe, reliable way to run it.\n\n### Launch Video:\n\nhttps://youtu.be/81K80OivtAc\n\n### The Problem:\n\nSerious agents are not just a single API call. [Agents need a computer.](https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk)\n\nThey execute code, call tools and browsers, run for minutes instead of milliseconds, and touch sensitive systems. Most teams end up rebuilding the same fragile setup:\n\n* Homegrown agent harnesses\n* Sandboxes, file systems, and queues stitched together\n* Logs and traces scattered across many services\n* Ad hoc snapshots and risky secret handling\n\nThe result:\n\n* Every agent needs its own mini runtime\n* Debugging one agent run feels like detective work\n* Adding a new agent feels like starting a new infra project\n\nGood agents stall at “cool demo” instead of reaching production. Deploying agents becomes a full-time infrastructure problem.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/89898/44917ba7-819c-4c41-a80f-ef359054b19e)\n\n### How Castari solves it\n\nWe’re building Castari to be the **natural runtime for AI agents built on Claude Agent SDK**. We wrap the entire agent in a sandbox, deploy it, and provide you with an endpoint url that auto-scales as requests come in. No need to write code in your tools to manage your sandbox lifecycle.\n\n#### **1. Drop in a config file → get a production runtime**\n\nIn your Claude Agent SDK repo:\n\n* Add a `castari.yaml` (entrypoint, tools, env vars)\n* Run `castari deploy`\n\nThat’s it. Your agent is now running in a secure sandbox with an endpoint, UI, and observability.\n\nWhether that agent is:\n\n* an **internal system** your team uses\n* a **customer-facing agent** that _is_ your product\n\nthe deployment workflow is identical and boring (in the good way).\n\n#### **2. Sandboxing & safety, built-in**\n\n* Every run executes in an isolated sandbox designed for tool-using agents\n* You design the behavior; we handle isolation and scaling\n* No more duct-taping together sandbox primitives for specific tools\n\n**Bottom line:** You keep building on **Claude Agent SDK** the way you already are — for internal workflows or core products. Castari turns that into a safe, observable, production-ready runtime.\n\n### Why Castari is different\n\n**E2B, Modal, Daytona, Cloudflare** (and friends) give you powerful sandbox and compute primitives.\n\n**Castari sits one layer up:**\n\nCastari wraps around your Claude Agent SDK-based agents so you can define them declaratively and run them in secure sandboxes, without owning the underlying sandbox lifecycle.\n\n* **Agent-first semantics**: runs, sessions, tools, snapshots are native concepts we manage.\n* **Zero framework lock-in**: remove Castari and your agent still runs on vanilla Claude Agent SDK; keep Castari and your infra team gets its life back.\n* **Focused start**: deeply integrated with **Claude Agent SDK** today, with the same “drop-in config” experience coming to other frameworks next.\n\nWe’re building the runtime we wish existed for agents.\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [**@Cambree Bernkopf**](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ members, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/1070542/5fbe422a-1cc4-49e3-95ce-8740164b600e)\n\n### Ask: early pilot access\n\nWe are opening a limited pilot for:\n\n* Teams building internal agents who need a safer, more reliable runtime\n* Companies building agent centric products that need to run in production without bespoke infra\n\nIf that is you and you are tired of wrestling with sandboxes, observability, and brittle tooling:\n\n→ Email [**jacob@castari.com**](mailto:jacob@castari.com) with subject “Castari Pilot” and 2 to 3 sentences about your agent stack and use case.\\\n→ Check out our open source repo for using any model with Claude Agent SDK on [GitHub](https://github.com/castar-ventures/castari-proxy).\\\n→ Join the waitlist on [**castari.com**](http://castari.com) to hear about our first releases.\n\nJacob, Cambree, and the Castari team", "url": "https://www.ycombinator.com/launches/OrV-castari-vercel-for-ai-agents", "votes": 20, "created_at": "2025-11-17T20:28:20.453Z" } ] }, { "id": 31030, "name": "Haladir", "slug": "haladir", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b1a47bf16f93d71a3d1f3af6d10a6c736e170b2.png", "website": "https://www.haladir.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Haladir builds advanced AI systems for logistics. We sit on top of your WMS, TMS and ERP, turning their data into decisions across supply chain planning and execution: solver-grade optimization that decides what should happen, and AI agents that run the workflows. Today's AI brought intelligence. The next frontier is judgement.", "one_liner": "Operational Intelligence for Global Logistics", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1766374394, "tags": [ "Logistics", "Supply Chain", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/haladir", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/haladir.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/haladir/", "x_url": "https://x.com/Haladirofficial", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/haladir", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b1a47bf16f93d71a3d1f3af6d10a6c736e170b2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/077073cf18700d7e1edd475232d633ec075bb136.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2487577, "full_name": "Jibran Hutchins", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Haladir | Carnegie Mellon University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jibran-hutchins-42500b26b/", "x_url": "https://x.com/jibranhutch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/987640bffd5262eeebe44296085c3da0038b2741.jpg" }, { "user_id": 2695652, "full_name": "Quan Huynh", "title": "Founder/CIO", "founder_bio": "Cofounder @Haladir", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/quanmhuynh/", "x_url": "https://x.com/quanmhuynh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05de19f72552f6a3317ae6d45e1cbbc378ab8060.jpg" }, { "user_id": 2711900, "full_name": "Joseph Tso", "title": "Founder/COO", "founder_bio": "Co-founder @ Haladir | CS @ Princeton", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josephtso", "x_url": "https://x.com/josephtso914", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20afb2e3ed767cd1880a6f822f73c5817a60fb4a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98580, "title": "Haladir: Building Operational Superintelligence", "tagline": "Combining formal solvers with LLMs to make AI reliable for high-stakes operational decisions", "body": "**TL;DR:** Haladir is an AI product lab that combines formal solvers with LLMs to make AI reliable for constrained systems. We turn unreliable model outputs into **verifiable, optimal decisions** for industries like **logistics, critical software, and manufacturing**. We are working with one of the leading AI labs to bring our technology to post-training.\n\n**Launch Video: [https://www.youtube.com/watch?v=caPPFAmL8Iw](https://www.youtube.com/watch?v=caPPFAmL8Iw)**\n\n**The Problem**\n\nOperationally-complex companies (logistics, supply chain, etc.) need to make thousands of decisions a day under tight, real-world constraints. Even when given ample context, we observe that the top models often fail to understand these constraints when placed in difficult scenarios, providing suboptimal or confidently incorrect responses. Though they excel at individual tasks like coding and data analysis, optimizing across systems with millions of interdependent variables under hard constraints remains beyond what current models can do on their own.\n\n**The Solution**\n\nHaladir combines formal solvers with LLMs to give models a fundamental understanding of constraints rather than just semantic context. For logistics and supply chain companies, this means routing, scheduling, and resource allocation that AI can reason through rather than guess at.\n\nWe build at both the model training layer and the application layer. On the training side, we build solver-based RL environments and data pipelines for frontier labs. On the application side, we build model harnesses that allow deployed agents to operate within constrained, sensitive workflows and make optimal decisions. Decades of development in solvers like Gurobi and SAT/SMT have produced incredibly powerful technologies, but there's a growing gap between these tools and how AI is deployed today. We're here to close that gap.\n\nRead our research: [haladir.com/research](http://haladir.com/research)\n\n**The Team**\n\nIn high school, we published and were cited in IEEE and Elsevier Q1 journals for operations research and machine learning. We left Carnegie Mellon, Princeton, and UVA to build Haladir.\n\n**Our Ask**\n\nWe'd love to talk with you if:\n\n* You work at a logistics, supply chain, or manufacturing company where AI isn't yet delivering on real decision-making\n* You work at or with frontier AI labs interested in solver-based training environments\n* You know talented people in operations research, formal methods, or applied ML\n\n👉 Contact us at [founders@haladir.com](mailto:founders@haladir.com)\n\n💼 Follow us on LinkedIn: www.linkedin.com/company/haladir\n\n📱 Follow us on X: x.com/Haladirofficial", "url": "https://www.ycombinator.com/launches/Pe0-haladir-building-operational-superintelligence", "votes": 21, "created_at": "2026-03-08T21:01:35.301Z" } ] }, { "id": 31200, "name": "Ressl AI", "slug": "ressl-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/186bc6483be3828abcf998b9a4ffedbef27ecfed.png", "website": "https://ressl.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Ressl AI helps teams bridge the gap from prototype to production by providing the platform needed to train, benchmark, and deploy autonomous agents that actually work in real-world business systems.", "one_liner": "Train, eval and build autonomous agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1765975223, "tags": [ "B2B", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ressl-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ressl-ai.json", "year_founded": 2025, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/ressl-ai", "x_url": "https://x.com/resslai", "fb_url": null, "cb_url": "Ressl AI", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/186bc6483be3828abcf998b9a4ffedbef27ecfed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1012417, "full_name": "Arushi Gandhi", "title": "Founder/CEO", "founder_bio": "Co-founder at Ressl AI | prev-Google Scholar | ex-MSFT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arushi-gandhi/", "x_url": "https://x.com/arushi_ressl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d3b66bae4137978dbdaa7441ab9b5bd9098b977.jpg" }, { "user_id": 856975, "full_name": "Abhishek E", "title": "Founder/CTO", "founder_bio": "Co-founder at Ressl AI | IIT Bombay", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhishek-e-b436231a4/", "x_url": "https://x.com/AbhishekEswaran", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/622c7b3aec20df4a3a19448ba18434b3226ba0c8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31215, "name": "Bubble Lab", "slug": "bubble-lab", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a94fc548c8500f0d7e462b5e941cb7f149637d0.png", "website": "https://bubblelab.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Bubble Lab helps event organizers and professional communities turn a room full of people into meaningful connections. We help them understand who’s in the room, identify who should meet, make the introduction, and remember those relationships for the next event.\r\n\r\nAttendee enrichment, matchmaking, searchable member directories, applications, payments, Luma and Slack sync, onboarding, and analytics all live in one place, so a single operator can run better gatherings and build a smarter community over time.", "one_liner": "Turn gatherings into lasting relationships.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1764881455, "tags": [ "Community", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bubble-lab", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/bubble-lab.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bubblelab-ai/", "x_url": "https://x.com/bubblelab_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/bubble-lab-5a07", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a94fc548c8500f0d7e462b5e941cb7f149637d0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2131392, "full_name": "Selina Li", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO of Bubble Lab, previously cofounder of gymii.ai | UPenn '23, Cornell Tech MEng '25 | Competitive golfer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/selina-li-2624a4198/", "x_url": "https://x.com/Selinaliyy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96866d00735919acdefc5cbaeba556b4e1fafe71.jpg" }, { "user_id": 1374763, "full_name": "Zach Zhong", "title": "Founder/CTO", "founder_bio": "I like to automate everything\nCornell Tech CS'25, UCSD CS'24\nPrev co-founded gymii.ai\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zzy0516", "x_url": "https://x.com/zhubzyz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5151bc77abb854851e5026b41e16a2118e6b8eb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98131, "title": "Bubble Lab - Supercharge your Ops work in Slack", "tagline": "Meet Pearl, your super-employee that handles your ops tasks in slack", "body": "Hey everyone! 👋\n\nWe’re [Selina](https://www.linkedin.com/in/selina-li-2624a4198/) and [Zach](https://www.linkedin.com/in/zzy0516/) from Bubble Lab. \n\n**TL;DR:** Bubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack. Pearl connects to tools like Notion, Jira, and Stripe and runs real operational workflows for your team—no engineering required.\n\n**THE PROBLEM** ❌\n\nOperations work today is fragmented across dozens of tools. Updating CRMs after calls, generating reports, triaging customer issues, and coordinating workflows all require constant context switching and manual effort.\n\nAutomating these processes is even harder. Existing tools are brittle, require engineering time, or live outside where teams actually work. As a result, most ops teams still rely on manual processes, even for repetitive, predictable tasks.\n\nThis slows teams down and makes it harder to scale operations without scaling headcount.\n\n**OUR SOLUTION** 👷\n\nDemo: \n\nBubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack in under a minute.\n\nWe’re already powering 4,000+ operators and fast-moving teams.\n\nPearl connects securely to your tools— Notion, Jira, HubSpot, Stripe, Google Workspace, and more—and can take action on your behalf. Teams use Pearl to:\n\n* Update HubSpot automatically after sales calls\n* Create Jira tickets from user feedback\n* Generate daily pipeline and revenue reports\n* Track and follow up on open invoices\n* Run operational workflows triggered directly from Slack\n\nWhen something needs to be repeated, Pearl turns it into a reliable workflow your team can run anytime.\n\nInstead of switching between tools or building custom automation infrastructure, teams can run and manage operations entirely from Slack.\n\n **OUR ASK 🙏**\n\nIf you run ops or growth at your company, we’d love to hear from you.\n\nTry Bubble Lab:[ https://bubblelab.ai](https://bubblelab.ai)\n\nWe’re especially excited to work with teams that want to automate operational workflows across their stack without engineering overhead.", "url": "https://www.ycombinator.com/launches/PWl-bubble-lab-supercharge-your-ops-work-in-slack", "votes": 7, "created_at": "2026-02-24T14:13:32.293Z" } ] }, { "id": 31378, "name": "GodHands", "slug": "godhands", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.png", "website": "https://godhands.ai", "all_locations": "San Francisco, CA, USA", "long_description": "GodHands learns how your teams actually work from the apps they already use, capturing the steps, decisions and exceptions that never get written down. It turns them into knowledge and playbooks, gives people and AI agents the answers, and builds agents that do the work the same way. Teams use GodHands to run operations, onboard new hires, hand over roles, integrate acquisitions and automate repetitive work.", "one_liner": "Turn how your team works into playbooks and agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1777151399, "tags": [ "B2B", "Enterprise", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/godhands", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/godhands.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/godhands-yc-f26/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 905009, "full_name": "Sai Vamshi Batchu", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of GodHands. We learn how companies actually operate and turn that knowledge into playbooks and answers for people and AI agents. Previously a quantitative researcher at Graviton, a high-frequency trading firm. IIT Kharagpur CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sai-vamshi-129256194/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3902d7acdca00531052656882bd8ae31e78f23ba.jpg" }, { "user_id": 3245390, "full_name": "Aditya Bommakanti", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of GodHands. We capture how work gets done, including the decisions and exceptions, so people and AI agents can carry it forward. Previously built low-latency systems at Graviton, a high-frequency trading firm. Research at UTokyo and Aarhus University. Published research at NeurIPS. IIT Delhi CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aditya-bommakanti-6b035321a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb214e7534bbad4c8c5a52ca3cd46359cf65852c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122209, "title": "GodHands: Agents that learn by watching your best people", "tagline": "The know-how your team runs on was never written down. GodHands learns it from the work itself.", "body": "We're[ Sai Vamshi](https://www.linkedin.com/in/sai-vamshi-batchu-129256194/) and[ Aditya](https://www.linkedin.com/in/aditya-bommakanti-6b035321a/), IIT engineers from high-frequency trading, building[ GodHands](https://godhands.ai).\n\n**TL;DR:** GodHands learns how tasks really get done across apps, no integrations required, and turns it into playbooks your team and agents follow. Ops, support and sales teams can save millions in lost know-how and hours of repetitive work every week. Reach out for a demo!\\\n\n\n**❌ The problem**\n\nAt our previous company, a key person left. Nobody knew how they did their work. The team kept calling them long after they'd gone, and it took months to get back on track.\n\nEvery company has people like that. None of what they know is written down.\n\nThey know how to handle the refund that doesn't fit the policy, which customer gets a call instead of an email, and which spreadsheet is actually right.\n\nSo when they leave, teams fall back on handover docs, SOPs nobody updates, and weeks of shadowing.\n\nToday's AI doesn't fix this. Agents know the internet, not how your best people work. AI knowledge tools (\"company brains\") read your docs and Slack, so they only know what someone wrote down.\n\n**✅ The solution**\n\n* **Never lose know-how when people leave.** GodHands learns how tasks get done across every app, including the steps, the decisions, and the exceptions. Nothing to integrate to start learning.\n* **Hand over work in days, not weeks.** GodHands turns that work into playbooks with sources, kept up to date, so whoever takes over does it the same way.\n* **Agents do the work.** GodHands follows those playbooks in any app, like Slack, Zendesk, Gmail, Jira, and Salesforce. Your existing agents can use them too, so your team gets hours back every week.\n* **Get new hires productive faster.** They ask GodHands how things are done and get answers from how your best people actually work, with sources.\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/6aa30075-0890-4e4e-b43c-3c2db71719d9)\n\nBuilt for ops, sales, and CX teams, logistics and retail operators, PE and M&A teams taking over a company, and any manager whose best person just handed in their notice.\n\n**The team**\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/2738fb55-3098-428c-96ad-e59b216115dd)\n\n**Sai Vamshi Batchu (CEO)** was a quantitative researcher at Graviton, India's largest HFT firm. IIT Kharagpur, CS.\n\n**Aditya Bommakanti (CTO)** built low-latency systems at Graviton, India's largest HFT firm and has published research at NeurIPS. IIT Delhi, CS.\n\nWe spent years building systems that learn from data and act on it. Now we're building one that learns from your best people.\n\n**Our ask**\n\nLet's talk if:\n\n* You want to understand how your team works, including the knowledge in people's heads\n* You want smarter agents to take on repetitive work, done the way your best people do it\n* Someone critical is leaving, or you're taking over a team or company\n\n[**Book a time**](https://calendly.com/founders-godhands/intro-call) or email [**founders@godhands.dev**](mailto:founders@godhands.dev).\n\n**Know a Head of Ops, VP of Support, or a PE operating partner?** We'd love an intro.", "url": "https://www.ycombinator.com/launches/Vn7-godhands-agents-that-learn-by-watching-your-best-people", "votes": 11, "created_at": "2026-10-15T13:30:00.116Z" } ] }, { "id": 31461, "name": "Collar", "slug": "collar", "former_names": [ "Collar AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35110e6bdfbfbf5706627685cbb370e170ff4a03.png", "website": "https://usecollarai.com", "all_locations": "San Francisco, CA, USA", "long_description": "We are a team of ex-intelligence, ex-finance, and most importantly, ex-founders who have known each other for over 5 years.\r\n\r\nCollar is redefining investor relations. \r\n\r\nRight now, investor relations is an under-appreciated yet sweeping function. \r\nThey have a bird’s eye view of what external stakeholders want, and also work with internal business units to create a grand vision of a company’s future.\r\n\r\nBut they’re doing it with their hands tied behind their back.\r\n\r\nFinance AI tools today are built for investors not investor relations, leaving teams using ad-hoc unreliable workarounds, and CFOs are stuck always reporting rather than acting on insights to optimize operational workstreams.\r\n\r\nBefore earning calls, Collar prepares CFOs through proactive earnings calls prep, investor targeting and fully citation-backed live teleprompters, saving them hours of work.\r\n\r\nAfter earning calls, CFOs use Collar’s trusted agentic AI systems to optimize identified underperforming workstreams with little manual modification needed. \r\n\r\nRedefining investor relations from a tedious cost centre headache, into a whole-of-company profit maximising function.\r\n", "one_liner": "AI-Native Investor Relations", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1777111023, "tags": [ "Generative AI", "Finance", "Enterprise", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/collar", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/collar.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/kazel-koh-en-yang-811172186/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35110e6bdfbfbf5706627685cbb370e170ff4a03.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a7b196143aabccefde2125bed1293d94ee1ce90f.png" ], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 527234, "full_name": "Kazel Koh En Yang", "title": "Founder/CEO", "founder_bio": "CEO/Co-founder at Collar (YC F26)\n\nI co-founded a deep tech health-tech startup at 16 (triaging post-cataract surgery complications) as CEO as the only non-grad researcher under the National Graduate Research Innovation Program. Concurrently I became a patented inventor as the first and only Masayoshi Son Foundation (Softbank) scholar from Singapore, inventing a new chess-based technique to hacking.\nGIC Scholar (Singapore's Sovereign Wealth Fund), Ex-Private Credit, Ex-Military Intelligence.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kazel-koh-en-yang-811172186", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69f13742bc25d13a6c4ad5737bae1c5fbd7c765d.jpg" }, { "user_id": 1147891, "full_name": "Jamie Yau", "title": "Founder/COO", "founder_bio": "COO/Co-founder at Collar (YC F26), building AI for public company investor relations. Previously Chief of Staff at one of Southeast Asia's largest billion-dollar asset manager. Before that, COO of Singapore’s largest youth-in-tech organisation leading a team of 80+, fellow at the U.S. Department of State, and the youngest contractor for the Singapore military. Ex-HS valedictorian. Started first company at 18. \n\nFrom the little red dot (Singapore), a decent golfer, and a wannabe chef. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamiey3u/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a756280f98b60b685f9f7dc9991c3d9f03ac7a18.jpg" } ], "jobs": [], "news": [ { "title": "Singapore start-up Collar AI by poly grads makes it to Y Combinator | The Straits Times", "url": "https://www.straitstimes.com/world/united-states/from-little-red-dot-to-silicon-valley-singapore-start-up-by-poly-students-makes-it-to-y-combinator", "date": "Aug 07, 2026" } ], "launches": [ { "id": 117940, "title": "Collar: The AI for public company Investor Relations", "tagline": "Find the right investors. Prepare for earnings. Answer analyst questions live with approved company information.", "body": "Collar is the AI for public company investor relations.\n\nIR teams must know the whole company, its investors and the market. That knowledge lives across spreadsheets, emails, transcripts, teams and data providers.\n\nCollar turns mess into momentum. \n\n**Turns company context into a live teleprompter for the CEO**\\\nCollar's teleprompter surfaces the right figure, commitment or approved line the moment a question lands. Management answers with precision on every earnings call.\n\n**Turns repeat questions into instant answers**\\\nCollar's Q&A bot lives on your IR website and answers investor questions from your filings, transcripts and approved messaging. Anything sensitive goes to IR’s inbox first.\n\n**Turns memory into meetings that matter**\\\nCollar remembers every investor relationship since your IPO. It shows you a CRM of who to meet, why now, and gives you a brief before you walk in.\n\n**Turns scattered data into decisions**\\\nCollar reconciles conflicting information across departments, resolves who and what each data point refers to, checks freshness, so management can use an answer without having to manually verify it again.\n\nKazel and Jamie are second time founders with backgrounds in buy side investing and military intelligence. For two years, they have built AI that gathers intelligence from hard to reach places and turns it into action. They know how investors think because they have sat on that side of the table.\n\nSend us your ticker on [usecollarai.com](http://usecollarai.com)\\\nWe'll send you 10 portfolio managers you should target next quarter.", "url": "https://www.ycombinator.com/launches/UgG-collar-the-ai-for-public-company-investor-relations", "votes": 2, "created_at": "2026-10-06T18:00:00.095Z" } ] }, { "id": 31825, "name": "Kebra", "slug": "kebra", "former_names": [ "Third Eye" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e21f70e5b9032365254edae847e8dcbc9ffddb3.png", "website": "https://kebra.com", "all_locations": "San Francisco, CA, USA", "long_description": "Kebra builds AI for skilled technicians.\r\n\r\nKebra guides technicians in the field in real time, documents their job, and automatically handles hours of back-office work; from dispatching technicians to filing warranty claims and managing inventory.", "one_liner": "AI For The Skilled Workforce", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1784399832, "tags": [ "B2B", "Home Services", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kebra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/kebra.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kebra-com/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e21f70e5b9032365254edae847e8dcbc9ffddb3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1693074, "full_name": "Luca Hadife", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Kebra. Built multimodal AI systems at Microsoft. Early team member at Amata (Series A). UC Berkeley Data/ML and ASUC Senator", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luca-hadife/", "x_url": "https://x.com/LucaHadife", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce9563442481e75ad730242772f72ce549481e01.jpg" }, { "user_id": 2600431, "full_name": "Mohamed Hosny", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at Kebra. Taught Computer Architecture and Signal Processing at UC Berkeley EECS. Software Engineer on data center switches at Arista Networks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mohamed-hosny-hussein/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a8e7ab2dd7a5e9830daa8cf984167f1a15a83a2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108355, "title": "Kebra — Making the field queryable", "tagline": "We capture what happens in field operations and turn it into the context AI employees need to automate the work that follows", "body": "Hey YC! 👋\n\nWe’re [Luca](https://www.linkedin.com/in/luca-hadife/) and [Hosny](https://www.linkedin.com/in/mohamed-hosny-hussein/), founders of [Kebra](https://kebra.com/?utm_source=ycombinator&utm_medium=launch&utm_campaign=yc_launch_2026).\n\n## TL;DR\n\nKebra makes the field queryable.\n\nWe capture what happens across jobs, sites, and assets and turn it into a live operating memory that AI can query and act on. Our AI employees use that context to automate the work that follows across the systems companies already use.\n\nEvery job makes that memory richer, building the company specific context software agents use today and physical agents will need tomorrow.\n\nWe’re already working with field operations companies across Florida, Pennsylvania, and California.\n\n\n\n## The problem\n\nField operations never got their Claude Code moment.\n\nWe spent months inside HVAC companies trying to automate their back office. We built AI employees for claims, reporting, coordination, and follow ups.\n\nThey kept breaking.\n\nNot because the AI could not do the work, but because it was acting on a reality that never happened. The most important part of the operation happened on the ground and was never properly captured.\n\nA missing serial number. A photo never taken. What the technician actually found stuck in their head.\n\nYou cannot automate an alternate reality. Before AI can operate the field, the field has to become queryable.\n\n## Our Solution\n\nKebra makes field operations queryable.\n\n**Capture what happens:** Field teams document jobs through photos, voice, video, and structured workflows. Kebra checks what is missing while they are still on site.\n\n**Build the operating memory:** Every job updates a live history of sites, assets, repairs, decisions, and how the company actually works.\n\n**AI employees act on it:** They use that context to automate reports, claims, coordination, compliance, follow ups, and other back office work across the systems the company already uses.\n\n## Vision\n\nEvery job makes Kebra’s operating memory richer.\n\nToday, software agents use that context to automate field operations. Tomorrow, physical AI and robots will need the same company specific context to understand each site, asset, procedure, and history before they can work autonomously.\n\nKebra is building the context layer for field operations.\n\n## Our Ask\n\nRun or know a company with field operations where important information gets lost between the field and the office?\n\nEmail us at [founders@kebra.com](mailto:founders@kebra.com) and [book a demo](https://calendar.app.google/s1DwDxHTbxZ9w5Uq6).\\\nFollow us on [LinkedIn](https://www.linkedin.com/company/kebra-com)", "url": "https://www.ycombinator.com/launches/SBf-kebra-making-the-field-queryable", "votes": 13, "created_at": "2026-07-30T22:13:43.328Z" } ] }, { "id": 32520, "name": "Snowstone", "slug": "snowstone", "former_names": [ "Cerenovus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5fd1252bd802d29775f848bb916f4456301ae679.png", "website": "https://snowstone.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Snowstone helps private equity firms drive operational value creation with AI. It's like a performance improvement engagement from a top consulting firm, but built from the company's own data, delivered in one week, and with every finding traced to its source. Today, private equity firms rely on consultants to find where portfolio companies can improve. That work depends on interviews and data requests, so the conclusions are secondhand, biased by internal politics and hard to check. Snowstone goes straight to the source data. 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Companies with physical operations make thousands of decisions every day, and we help their teams make the best one at every step from production to delivery: (1) Planning: how much to make, buy and stock. (2) Scheduling: what runs when, and who works on what. (3) Allocation: which warehouse or store gets each order. (4) Routing: boat, plane or truck, and which route each one takes. 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